getvda.ai

~/.codex/config.toml

[mcp_servers.bcrypt-python-jose-d0e0d0]
url = "https://bcrypt-python-jose-d0e0d0.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-python-jose-d0e0d0": {
      "type": "http",
      "url": "https://bcrypt-python-jose-d0e0d0.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-python-jose-d0e0d0
Remote MCP URL: https://bcrypt-python-jose-d0e0d0.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-python-jose-d0e0d0": {
      "url": "https://bcrypt-python-jose-d0e0d0.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-python-jose-d0e0d0": {
      "type": "http",
      "url": "https://bcrypt-python-jose-d0e0d0.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-python-jose-d0e0d0",
  "transport": "streamable-http",
  "url": "https://bcrypt-python-jose-d0e0d0.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-langchain-openai-mcp-bb738e]
url = "https://bcrypt-langchain-openai-mcp-bb738e.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-openai-mcp-bb738e": {
      "type": "http",
      "url": "https://bcrypt-langchain-openai-mcp-bb738e.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-langchain-openai-mcp-bb738e
Remote MCP URL: https://bcrypt-langchain-openai-mcp-bb738e.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-openai-mcp-bb738e": {
      "url": "https://bcrypt-langchain-openai-mcp-bb738e.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-langchain-openai-mcp-bb738e": {
      "type": "http",
      "url": "https://bcrypt-langchain-openai-mcp-bb738e.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-langchain-openai-mcp-bb738e",
  "transport": "streamable-http",
  "url": "https://bcrypt-langchain-openai-mcp-bb738e.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-langchain-core-mcp-25b8f1]
url = "https://bcrypt-langchain-core-mcp-25b8f1.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-core-mcp-25b8f1": {
      "type": "http",
      "url": "https://bcrypt-langchain-core-mcp-25b8f1.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-langchain-core-mcp-25b8f1
Remote MCP URL: https://bcrypt-langchain-core-mcp-25b8f1.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-core-mcp-25b8f1": {
      "url": "https://bcrypt-langchain-core-mcp-25b8f1.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-langchain-core-mcp-25b8f1": {
      "type": "http",
      "url": "https://bcrypt-langchain-core-mcp-25b8f1.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-langchain-core-mcp-25b8f1",
  "transport": "streamable-http",
  "url": "https://bcrypt-langchain-core-mcp-25b8f1.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.anthropic-google-auth-oauthlib-mc-70ac16]
url = "https://anthropic-google-auth-oauthlib-mc-70ac16.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "anthropic-google-auth-oauthlib-mc-70ac16": {
      "type": "http",
      "url": "https://anthropic-google-auth-oauthlib-mc-70ac16.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: anthropic-google-auth-oauthlib-mc-70ac16
Remote MCP URL: https://anthropic-google-auth-oauthlib-mc-70ac16.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "anthropic-google-auth-oauthlib-mc-70ac16": {
      "url": "https://anthropic-google-auth-oauthlib-mc-70ac16.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "anthropic-google-auth-oauthlib-mc-70ac16": {
      "type": "http",
      "url": "https://anthropic-google-auth-oauthlib-mc-70ac16.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "anthropic-google-auth-oauthlib-mc-70ac16",
  "transport": "streamable-http",
  "url": "https://anthropic-google-auth-oauthlib-mc-70ac16.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.router]
url = "https://router.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "router": {
      "type": "http",
      "url": "https://router.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: router
Remote MCP URL: https://router.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "router": {
      "url": "https://router.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "router": {
      "type": "http",
      "url": "https://router.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "router",
  "transport": "streamable-http",
  "url": "https://router.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-core-langsmith-openai-8c02f9]
url = "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-core-langsmith-openai-8c02f9": {
      "type": "http",
      "url": "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-core-langsmith-openai-8c02f9
Remote MCP URL: https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-core-langsmith-openai-8c02f9": {
      "url": "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-core-langsmith-openai-8c02f9": {
      "type": "http",
      "url": "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-core-langsmith-openai-8c02f9",
  "transport": "streamable-http",
  "url": "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-core-langchain-openai-l-736876]
url = "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-core-langchain-openai-l-736876": {
      "type": "http",
      "url": "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-core-langchain-openai-l-736876
Remote MCP URL: https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-core-langchain-openai-l-736876": {
      "url": "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-core-langchain-openai-l-736876": {
      "type": "http",
      "url": "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-core-langchain-openai-l-736876",
  "transport": "streamable-http",
  "url": "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.fastmcp-instructor-72225f]
url = "https://fastmcp-instructor-72225f.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "fastmcp-instructor-72225f": {
      "type": "http",
      "url": "https://fastmcp-instructor-72225f.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: fastmcp-instructor-72225f
Remote MCP URL: https://fastmcp-instructor-72225f.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "fastmcp-instructor-72225f": {
      "url": "https://fastmcp-instructor-72225f.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "fastmcp-instructor-72225f": {
      "type": "http",
      "url": "https://fastmcp-instructor-72225f.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "fastmcp-instructor-72225f",
  "transport": "streamable-http",
  "url": "https://fastmcp-instructor-72225f.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.anthropic-mcp-opentelemetry-api-264025]
url = "https://anthropic-mcp-opentelemetry-api-264025.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "anthropic-mcp-opentelemetry-api-264025": {
      "type": "http",
      "url": "https://anthropic-mcp-opentelemetry-api-264025.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: anthropic-mcp-opentelemetry-api-264025
Remote MCP URL: https://anthropic-mcp-opentelemetry-api-264025.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "anthropic-mcp-opentelemetry-api-264025": {
      "url": "https://anthropic-mcp-opentelemetry-api-264025.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "anthropic-mcp-opentelemetry-api-264025": {
      "type": "http",
      "url": "https://anthropic-mcp-opentelemetry-api-264025.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "anthropic-mcp-opentelemetry-api-264025",
  "transport": "streamable-http",
  "url": "https://anthropic-mcp-opentelemetry-api-264025.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.vda-witness]
url = "https://witness.getvda.ai/api/witness/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "vda-witness": {
      "type": "http",
      "url": "https://witness.getvda.ai/api/witness/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: vda-witness
Remote MCP URL: https://witness.getvda.ai/api/witness/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "vda-witness": {
      "url": "https://witness.getvda.ai/api/witness/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "vda-witness": {
      "type": "http",
      "url": "https://witness.getvda.ai/api/witness/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "vda-witness",
  "transport": "streamable-http",
  "url": "https://witness.getvda.ai/api/witness/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-langchain-mcp-ae7d44]
url = "https://auth-token-mcp-service.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-mcp-ae7d44": {
      "type": "http",
      "url": "https://auth-token-mcp-service.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-langchain-mcp-ae7d44
Remote MCP URL: https://auth-token-mcp-service.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-mcp-ae7d44": {
      "url": "https://auth-token-mcp-service.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-langchain-mcp-ae7d44": {
      "type": "http",
      "url": "https://auth-token-mcp-service.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-langchain-mcp-ae7d44",
  "transport": "streamable-http",
  "url": "https://auth-token-mcp-service.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.auth-token-mcp-traced-service]
url = "https://auth-token-mcp-traced-service.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "auth-token-mcp-traced-service": {
      "type": "http",
      "url": "https://auth-token-mcp-traced-service.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: auth-token-mcp-traced-service
Remote MCP URL: https://auth-token-mcp-traced-service.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "auth-token-mcp-traced-service": {
      "url": "https://auth-token-mcp-traced-service.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "auth-token-mcp-traced-service": {
      "type": "http",
      "url": "https://auth-token-mcp-traced-service.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "auth-token-mcp-traced-service",
  "transport": "streamable-http",
  "url": "https://auth-token-mcp-traced-service.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-langchain-openai-mcp-bb738e]
url = "https://authenticated-llm-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-openai-mcp-bb738e": {
      "type": "http",
      "url": "https://authenticated-llm-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-langchain-openai-mcp-bb738e
Remote MCP URL: https://authenticated-llm-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-openai-mcp-bb738e": {
      "url": "https://authenticated-llm-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-langchain-openai-mcp-bb738e": {
      "type": "http",
      "url": "https://authenticated-llm-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-langchain-openai-mcp-bb738e",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-langchain-openai-mcp-077256]
url = "https://authenticated-llm-agent-bcrypt.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-openai-mcp-077256": {
      "type": "http",
      "url": "https://authenticated-llm-agent-bcrypt.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-langchain-openai-mcp-077256
Remote MCP URL: https://authenticated-llm-agent-bcrypt.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-openai-mcp-077256": {
      "url": "https://authenticated-llm-agent-bcrypt.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-langchain-openai-mcp-077256": {
      "type": "http",
      "url": "https://authenticated-llm-agent-bcrypt.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-langchain-openai-mcp-077256",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-agent-bcrypt.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.authenticated-llm-jwt-agent]
url = "https://authenticated-llm-jwt-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "authenticated-llm-jwt-agent": {
      "type": "http",
      "url": "https://authenticated-llm-jwt-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: authenticated-llm-jwt-agent
Remote MCP URL: https://authenticated-llm-jwt-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "authenticated-llm-jwt-agent": {
      "url": "https://authenticated-llm-jwt-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "authenticated-llm-jwt-agent": {
      "type": "http",
      "url": "https://authenticated-llm-jwt-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "authenticated-llm-jwt-agent",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-jwt-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.google-auth-oauthlib-langchain-la-d042fc]
url = "https://authenticated-llm-mcp-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "google-auth-oauthlib-langchain-la-d042fc": {
      "type": "http",
      "url": "https://authenticated-llm-mcp-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: google-auth-oauthlib-langchain-la-d042fc
Remote MCP URL: https://authenticated-llm-mcp-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "google-auth-oauthlib-langchain-la-d042fc": {
      "url": "https://authenticated-llm-mcp-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "google-auth-oauthlib-langchain-la-d042fc": {
      "type": "http",
      "url": "https://authenticated-llm-mcp-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "google-auth-oauthlib-langchain-la-d042fc",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-mcp-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.cryptography-google-auth-oauthlib-29bc28]
url = "https://authenticated-llm-traced-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "cryptography-google-auth-oauthlib-29bc28": {
      "type": "http",
      "url": "https://authenticated-llm-traced-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: cryptography-google-auth-oauthlib-29bc28
Remote MCP URL: https://authenticated-llm-traced-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "cryptography-google-auth-oauthlib-29bc28": {
      "url": "https://authenticated-llm-traced-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cryptography-google-auth-oauthlib-29bc28": {
      "type": "http",
      "url": "https://authenticated-llm-traced-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "cryptography-google-auth-oauthlib-29bc28",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-traced-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.authenticated-mcp-agent-aed9d5]
url = "https://authenticated-mcp-agent-aed9d5.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "authenticated-mcp-agent-aed9d5": {
      "type": "http",
      "url": "https://authenticated-mcp-agent-aed9d5.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: authenticated-mcp-agent-aed9d5
Remote MCP URL: https://authenticated-mcp-agent-aed9d5.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "authenticated-mcp-agent-aed9d5": {
      "url": "https://authenticated-mcp-agent-aed9d5.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "authenticated-mcp-agent-aed9d5": {
      "type": "http",
      "url": "https://authenticated-mcp-agent-aed9d5.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "authenticated-mcp-agent-aed9d5",
  "transport": "streamable-http",
  "url": "https://authenticated-mcp-agent-aed9d5.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-mcp-openai-3b46a0]
url = "https://authenticated-mcp-agent-bcrypt.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-mcp-openai-3b46a0": {
      "type": "http",
      "url": "https://authenticated-mcp-agent-bcrypt.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-mcp-openai-3b46a0
Remote MCP URL: https://authenticated-mcp-agent-bcrypt.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-mcp-openai-3b46a0": {
      "url": "https://authenticated-mcp-agent-bcrypt.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-mcp-openai-3b46a0": {
      "type": "http",
      "url": "https://authenticated-mcp-agent-bcrypt.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-mcp-openai-3b46a0",
  "transport": "streamable-http",
  "url": "https://authenticated-mcp-agent-bcrypt.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-langchain-core-mcp-6c9b9c]
url = "https://authenticated-mcp-agent-openai.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-core-mcp-6c9b9c": {
      "type": "http",
      "url": "https://authenticated-mcp-agent-openai.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-langchain-core-mcp-6c9b9c
Remote MCP URL: https://authenticated-mcp-agent-openai.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-core-mcp-6c9b9c": {
      "url": "https://authenticated-mcp-agent-openai.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-langchain-core-mcp-6c9b9c": {
      "type": "http",
      "url": "https://authenticated-mcp-agent-openai.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-langchain-core-mcp-6c9b9c",
  "transport": "streamable-http",
  "url": "https://authenticated-mcp-agent-openai.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.authenticated-mcp-traced-agent]
url = "https://authenticated-mcp-traced-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "authenticated-mcp-traced-agent": {
      "type": "http",
      "url": "https://authenticated-mcp-traced-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: authenticated-mcp-traced-agent
Remote MCP URL: https://authenticated-mcp-traced-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "authenticated-mcp-traced-agent": {
      "url": "https://authenticated-mcp-traced-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "authenticated-mcp-traced-agent": {
      "type": "http",
      "url": "https://authenticated-mcp-traced-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "authenticated-mcp-traced-agent",
  "transport": "streamable-http",
  "url": "https://authenticated-mcp-traced-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.anthropic-google-auth-oauthlib-mc-70ac16]
url = "https://authenticated-multi-llm-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "anthropic-google-auth-oauthlib-mc-70ac16": {
      "type": "http",
      "url": "https://authenticated-multi-llm-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: anthropic-google-auth-oauthlib-mc-70ac16
Remote MCP URL: https://authenticated-multi-llm-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "anthropic-google-auth-oauthlib-mc-70ac16": {
      "url": "https://authenticated-multi-llm-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "anthropic-google-auth-oauthlib-mc-70ac16": {
      "type": "http",
      "url": "https://authenticated-multi-llm-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "anthropic-google-auth-oauthlib-mc-70ac16",
  "transport": "streamable-http",
  "url": "https://authenticated-multi-llm-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.structured-output-agent-89bcb0]
url = "https://structured-output-agent-89bcb0.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "structured-output-agent-89bcb0": {
      "type": "http",
      "url": "https://structured-output-agent-89bcb0.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: structured-output-agent-89bcb0
Remote MCP URL: https://structured-output-agent-89bcb0.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "structured-output-agent-89bcb0": {
      "url": "https://structured-output-agent-89bcb0.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "structured-output-agent-89bcb0": {
      "type": "http",
      "url": "https://structured-output-agent-89bcb0.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "structured-output-agent-89bcb0",
  "transport": "streamable-http",
  "url": "https://structured-output-agent-89bcb0.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.health]
url = "https://health.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "health": {
      "type": "http",
      "url": "https://health.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: health
Remote MCP URL: https://health.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "health": {
      "url": "https://health.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "health": {
      "type": "http",
      "url": "https://health.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "health",
  "transport": "streamable-http",
  "url": "https://health.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.elasticsearch-mongodb-redis-stack-generator-el-d]
url = "https://elasticsearch-mongodb-redis-stack-generator-el-d8f067.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "elasticsearch-mongodb-redis-stack-generator-el-d": {
      "type": "http",
      "url": "https://elasticsearch-mongodb-redis-stack-generator-el-d8f067.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: elasticsearch-mongodb-redis-stack-generator-el-d
Remote MCP URL: https://elasticsearch-mongodb-redis-stack-generator-el-d8f067.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "elasticsearch-mongodb-redis-stack-generator-el-d": {
      "url": "https://elasticsearch-mongodb-redis-stack-generator-el-d8f067.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "elasticsearch-mongodb-redis-stack-generator-el-d": {
      "type": "http",
      "url": "https://elasticsearch-mongodb-redis-stack-generator-el-d8f067.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "elasticsearch-mongodb-redis-stack-generator-el-d",
  "transport": "streamable-http",
  "url": "https://elasticsearch-mongodb-redis-stack-generator-el-d8f067.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.elasticsearch-elasticsearch-kiban-19b4ad]
url = "https://elasticsearch-redis-mysql-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "elasticsearch-elasticsearch-kiban-19b4ad": {
      "type": "http",
      "url": "https://elasticsearch-redis-mysql-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: elasticsearch-elasticsearch-kiban-19b4ad
Remote MCP URL: https://elasticsearch-redis-mysql-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "elasticsearch-elasticsearch-kiban-19b4ad": {
      "url": "https://elasticsearch-redis-mysql-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "elasticsearch-elasticsearch-kiban-19b4ad": {
      "type": "http",
      "url": "https://elasticsearch-redis-mysql-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "elasticsearch-elasticsearch-kiban-19b4ad",
  "transport": "streamable-http",
  "url": "https://elasticsearch-redis-mysql-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.elasticsearch-elasticsearch-kiban-c05def]
url = "https://elasticsearch-redis-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "elasticsearch-elasticsearch-kiban-c05def": {
      "type": "http",
      "url": "https://elasticsearch-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: elasticsearch-elasticsearch-kiban-c05def
Remote MCP URL: https://elasticsearch-redis-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "elasticsearch-elasticsearch-kiban-c05def": {
      "url": "https://elasticsearch-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "elasticsearch-elasticsearch-kiban-c05def": {
      "type": "http",
      "url": "https://elasticsearch-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "elasticsearch-elasticsearch-kiban-c05def",
  "transport": "streamable-http",
  "url": "https://elasticsearch-redis-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.elasticsearch-redis-stack-generator-elasticsea-5]
url = "https://elasticsearch-redis-stack-generator-elasticsea-588e3e.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "elasticsearch-redis-stack-generator-elasticsea-5": {
      "type": "http",
      "url": "https://elasticsearch-redis-stack-generator-elasticsea-588e3e.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: elasticsearch-redis-stack-generator-elasticsea-5
Remote MCP URL: https://elasticsearch-redis-stack-generator-elasticsea-588e3e.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "elasticsearch-redis-stack-generator-elasticsea-5": {
      "url": "https://elasticsearch-redis-stack-generator-elasticsea-588e3e.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "elasticsearch-redis-stack-generator-elasticsea-5": {
      "type": "http",
      "url": "https://elasticsearch-redis-stack-generator-elasticsea-588e3e.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "elasticsearch-redis-stack-generator-elasticsea-5",
  "transport": "streamable-http",
  "url": "https://elasticsearch-redis-stack-generator-elasticsea-588e3e.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-cryptography-langchain-cor-027cf2]
url = "https://bcrypt-cryptography-langchain-cor-027cf2.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-cryptography-langchain-cor-027cf2": {
      "type": "http",
      "url": "https://bcrypt-cryptography-langchain-cor-027cf2.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-cryptography-langchain-cor-027cf2
Remote MCP URL: https://bcrypt-cryptography-langchain-cor-027cf2.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-cryptography-langchain-cor-027cf2": {
      "url": "https://bcrypt-cryptography-langchain-cor-027cf2.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-cryptography-langchain-cor-027cf2": {
      "type": "http",
      "url": "https://bcrypt-cryptography-langchain-cor-027cf2.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-cryptography-langchain-cor-027cf2",
  "transport": "streamable-http",
  "url": "https://bcrypt-cryptography-langchain-cor-027cf2.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.cryptography-langchain-core-mcp-07d652]
url = "https://cryptography-langchain-core-mcp-07d652.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "cryptography-langchain-core-mcp-07d652": {
      "type": "http",
      "url": "https://cryptography-langchain-core-mcp-07d652.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: cryptography-langchain-core-mcp-07d652
Remote MCP URL: https://cryptography-langchain-core-mcp-07d652.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "cryptography-langchain-core-mcp-07d652": {
      "url": "https://cryptography-langchain-core-mcp-07d652.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cryptography-langchain-core-mcp-07d652": {
      "type": "http",
      "url": "https://cryptography-langchain-core-mcp-07d652.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "cryptography-langchain-core-mcp-07d652",
  "transport": "streamable-http",
  "url": "https://cryptography-langchain-core-mcp-07d652.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.authenticated-llm-agent-cryptography]
url = "https://authenticated-llm-agent-cryptography.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "authenticated-llm-agent-cryptography": {
      "type": "http",
      "url": "https://authenticated-llm-agent-cryptography.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: authenticated-llm-agent-cryptography
Remote MCP URL: https://authenticated-llm-agent-cryptography.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "authenticated-llm-agent-cryptography": {
      "url": "https://authenticated-llm-agent-cryptography.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "authenticated-llm-agent-cryptography": {
      "type": "http",
      "url": "https://authenticated-llm-agent-cryptography.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "authenticated-llm-agent-cryptography",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-agent-cryptography.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.fastapi-auth-token-jwt-service]
url = "https://fastapi-auth-token-jwt-service.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "fastapi-auth-token-jwt-service": {
      "type": "http",
      "url": "https://fastapi-auth-token-jwt-service.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: fastapi-auth-token-jwt-service
Remote MCP URL: https://fastapi-auth-token-jwt-service.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "fastapi-auth-token-jwt-service": {
      "url": "https://fastapi-auth-token-jwt-service.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "fastapi-auth-token-jwt-service": {
      "type": "http",
      "url": "https://fastapi-auth-token-jwt-service.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "fastapi-auth-token-jwt-service",
  "transport": "streamable-http",
  "url": "https://fastapi-auth-token-jwt-service.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.fastapi-auth-token-service]
url = "https://fastapi-auth-token-service.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "fastapi-auth-token-service": {
      "type": "http",
      "url": "https://fastapi-auth-token-service.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: fastapi-auth-token-service
Remote MCP URL: https://fastapi-auth-token-service.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "fastapi-auth-token-service": {
      "url": "https://fastapi-auth-token-service.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "fastapi-auth-token-service": {
      "type": "http",
      "url": "https://fastapi-auth-token-service.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "fastapi-auth-token-service",
  "transport": "streamable-http",
  "url": "https://fastapi-auth-token-service.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.cryptography-google-auth-oauthlib-7bb152]
url = "https://authenticated-llm-oauth-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "cryptography-google-auth-oauthlib-7bb152": {
      "type": "http",
      "url": "https://authenticated-llm-oauth-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: cryptography-google-auth-oauthlib-7bb152
Remote MCP URL: https://authenticated-llm-oauth-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "cryptography-google-auth-oauthlib-7bb152": {
      "url": "https://authenticated-llm-oauth-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cryptography-google-auth-oauthlib-7bb152": {
      "type": "http",
      "url": "https://authenticated-llm-oauth-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "cryptography-google-auth-oauthlib-7bb152",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-oauth-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.google-auth-oauthlib-langchain-la-c1a755]
url = "https://google-auth-oauthlib-langchain-la-c1a755.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "google-auth-oauthlib-langchain-la-c1a755": {
      "type": "http",
      "url": "https://google-auth-oauthlib-langchain-la-c1a755.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: google-auth-oauthlib-langchain-la-c1a755
Remote MCP URL: https://google-auth-oauthlib-langchain-la-c1a755.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "google-auth-oauthlib-langchain-la-c1a755": {
      "url": "https://google-auth-oauthlib-langchain-la-c1a755.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "google-auth-oauthlib-langchain-la-c1a755": {
      "type": "http",
      "url": "https://google-auth-oauthlib-langchain-la-c1a755.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "google-auth-oauthlib-langchain-la-c1a755",
  "transport": "streamable-http",
  "url": "https://google-auth-oauthlib-langchain-la-c1a755.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.anthropic-google-auth-oauthlib-mc-aed9d5]
url = "https://authenticated-llm-agent-anthropic.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "anthropic-google-auth-oauthlib-mc-aed9d5": {
      "type": "http",
      "url": "https://authenticated-llm-agent-anthropic.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: anthropic-google-auth-oauthlib-mc-aed9d5
Remote MCP URL: https://authenticated-llm-agent-anthropic.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "anthropic-google-auth-oauthlib-mc-aed9d5": {
      "url": "https://authenticated-llm-agent-anthropic.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "anthropic-google-auth-oauthlib-mc-aed9d5": {
      "type": "http",
      "url": "https://authenticated-llm-agent-anthropic.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "anthropic-google-auth-oauthlib-mc-aed9d5",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-agent-anthropic.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.google-auth-oauthlib-langchain-la-d46b90]
url = "https://google-auth-oauthlib-langchain-la-d46b90.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "google-auth-oauthlib-langchain-la-d46b90": {
      "type": "http",
      "url": "https://google-auth-oauthlib-langchain-la-d46b90.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: google-auth-oauthlib-langchain-la-d46b90
Remote MCP URL: https://google-auth-oauthlib-langchain-la-d46b90.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "google-auth-oauthlib-langchain-la-d46b90": {
      "url": "https://google-auth-oauthlib-langchain-la-d46b90.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "google-auth-oauthlib-langchain-la-d46b90": {
      "type": "http",
      "url": "https://google-auth-oauthlib-langchain-la-d46b90.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "google-auth-oauthlib-langchain-la-d46b90",
  "transport": "streamable-http",
  "url": "https://google-auth-oauthlib-langchain-la-d46b90.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.drift]
url = "https://drift.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "drift": {
      "type": "http",
      "url": "https://drift.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: drift
Remote MCP URL: https://drift.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "drift": {
      "url": "https://drift.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "drift": {
      "type": "http",
      "url": "https://drift.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "drift",
  "transport": "streamable-http",
  "url": "https://drift.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.confluentinc-cp-kafka-confluentin-01eb69]
url = "https://postgres-prometheus-kafka-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-confluentin-01eb69": {
      "type": "http",
      "url": "https://postgres-prometheus-kafka-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: confluentinc-cp-kafka-confluentin-01eb69
Remote MCP URL: https://postgres-prometheus-kafka-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-confluentin-01eb69": {
      "url": "https://postgres-prometheus-kafka-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "confluentinc-cp-kafka-confluentin-01eb69": {
      "type": "http",
      "url": "https://postgres-prometheus-kafka-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "confluentinc-cp-kafka-confluentin-01eb69",
  "transport": "streamable-http",
  "url": "https://postgres-prometheus-kafka-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.confluentinc-cp-kafka-minio-minio-5634ac]
url = "https://kafka-minio-redis-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-minio-minio-5634ac": {
      "type": "http",
      "url": "https://kafka-minio-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: confluentinc-cp-kafka-minio-minio-5634ac
Remote MCP URL: https://kafka-minio-redis-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-minio-minio-5634ac": {
      "url": "https://kafka-minio-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "confluentinc-cp-kafka-minio-minio-5634ac": {
      "type": "http",
      "url": "https://kafka-minio-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "confluentinc-cp-kafka-minio-minio-5634ac",
  "transport": "streamable-http",
  "url": "https://kafka-minio-redis-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.confluentinc-cp-kafka-confluentin-f6eaf2]
url = "https://kafka-redis-minio-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-confluentin-f6eaf2": {
      "type": "http",
      "url": "https://kafka-redis-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: confluentinc-cp-kafka-confluentin-f6eaf2
Remote MCP URL: https://kafka-redis-minio-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-confluentin-f6eaf2": {
      "url": "https://kafka-redis-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "confluentinc-cp-kafka-confluentin-f6eaf2": {
      "type": "http",
      "url": "https://kafka-redis-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "confluentinc-cp-kafka-confluentin-f6eaf2",
  "transport": "streamable-http",
  "url": "https://kafka-redis-minio-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-langchain-core-mcp-d0e0d0]
url = "https://authenticated-mcp-agent-langchain-core.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-core-mcp-d0e0d0": {
      "type": "http",
      "url": "https://authenticated-mcp-agent-langchain-core.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-langchain-core-mcp-d0e0d0
Remote MCP URL: https://authenticated-mcp-agent-langchain-core.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-langchain-core-mcp-d0e0d0": {
      "url": "https://authenticated-mcp-agent-langchain-core.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-langchain-core-mcp-d0e0d0": {
      "type": "http",
      "url": "https://authenticated-mcp-agent-langchain-core.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-langchain-core-mcp-d0e0d0",
  "transport": "streamable-http",
  "url": "https://authenticated-mcp-agent-langchain-core.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-core-langsmith-openai-8c02f9]
url = "https://llm-observability-orchestration.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-core-langsmith-openai-8c02f9": {
      "type": "http",
      "url": "https://llm-observability-orchestration.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-core-langsmith-openai-8c02f9
Remote MCP URL: https://llm-observability-orchestration.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-core-langsmith-openai-8c02f9": {
      "url": "https://llm-observability-orchestration.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-core-langsmith-openai-8c02f9": {
      "type": "http",
      "url": "https://llm-observability-orchestration.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-core-langsmith-openai-8c02f9",
  "transport": "streamable-http",
  "url": "https://llm-observability-orchestration.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-langchain-core-langsmit-d042fc]
url = "https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-langchain-core-langsmit-d042fc": {
      "type": "http",
      "url": "https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-langchain-core-langsmit-d042fc
Remote MCP URL: https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-langchain-core-langsmit-d042fc": {
      "url": "https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-langchain-core-langsmit-d042fc": {
      "type": "http",
      "url": "https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-langchain-core-langsmit-d042fc",
  "transport": "streamable-http",
  "url": "https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-langchain-community-lan-c1a755]
url = "https://llm-observability-orchestration-agent-langchai-c1a755.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-langchain-community-lan-c1a755": {
      "type": "http",
      "url": "https://llm-observability-orchestration-agent-langchai-c1a755.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-langchain-community-lan-c1a755
Remote MCP URL: https://llm-observability-orchestration-agent-langchai-c1a755.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-langchain-community-lan-c1a755": {
      "url": "https://llm-observability-orchestration-agent-langchai-c1a755.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-langchain-community-lan-c1a755": {
      "type": "http",
      "url": "https://llm-observability-orchestration-agent-langchai-c1a755.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-langchain-community-lan-c1a755",
  "transport": "streamable-http",
  "url": "https://llm-observability-orchestration-agent-langchai-c1a755.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-core-langchain-openai-m-5117c8]
url = "https://llm-orchestration-agent-2.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-core-langchain-openai-m-5117c8": {
      "type": "http",
      "url": "https://llm-orchestration-agent-2.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-core-langchain-openai-m-5117c8
Remote MCP URL: https://llm-orchestration-agent-2.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-core-langchain-openai-m-5117c8": {
      "url": "https://llm-orchestration-agent-2.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-core-langchain-openai-m-5117c8": {
      "type": "http",
      "url": "https://llm-orchestration-agent-2.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-core-langchain-openai-m-5117c8",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-2.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.llm-orchestration-agent-2-df5979]
url = "https://llm-orchestration-agent-2-df5979.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-2-df5979": {
      "type": "http",
      "url": "https://llm-orchestration-agent-2-df5979.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: llm-orchestration-agent-2-df5979
Remote MCP URL: https://llm-orchestration-agent-2-df5979.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-2-df5979": {
      "url": "https://llm-orchestration-agent-2-df5979.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "llm-orchestration-agent-2-df5979": {
      "type": "http",
      "url": "https://llm-orchestration-agent-2-df5979.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "llm-orchestration-agent-2-df5979",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-2-df5979.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.cryptography-langchain-core-mcp-a24088]
url = "https://llm-orchestration-agent-cryptography.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "cryptography-langchain-core-mcp-a24088": {
      "type": "http",
      "url": "https://llm-orchestration-agent-cryptography.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: cryptography-langchain-core-mcp-a24088
Remote MCP URL: https://llm-orchestration-agent-cryptography.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "cryptography-langchain-core-mcp-a24088": {
      "url": "https://llm-orchestration-agent-cryptography.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cryptography-langchain-core-mcp-a24088": {
      "type": "http",
      "url": "https://llm-orchestration-agent-cryptography.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "cryptography-langchain-core-mcp-a24088",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-cryptography.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.llm-orchestration-agent-d0a1a1]
url = "https://llm-orchestration-agent-d0a1a1.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-d0a1a1": {
      "type": "http",
      "url": "https://llm-orchestration-agent-d0a1a1.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: llm-orchestration-agent-d0a1a1
Remote MCP URL: https://llm-orchestration-agent-d0a1a1.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-d0a1a1": {
      "url": "https://llm-orchestration-agent-d0a1a1.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "llm-orchestration-agent-d0a1a1": {
      "type": "http",
      "url": "https://llm-orchestration-agent-d0a1a1.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "llm-orchestration-agent-d0a1a1",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-d0a1a1.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-core-langchain-openai-l-d2feb0]
url = "https://llm-orchestration-agent-d2feb0.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-core-langchain-openai-l-d2feb0": {
      "type": "http",
      "url": "https://llm-orchestration-agent-d2feb0.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-core-langchain-openai-l-d2feb0
Remote MCP URL: https://llm-orchestration-agent-d2feb0.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-core-langchain-openai-l-d2feb0": {
      "url": "https://llm-orchestration-agent-d2feb0.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-core-langchain-openai-l-d2feb0": {
      "type": "http",
      "url": "https://llm-orchestration-agent-d2feb0.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-core-langchain-openai-l-d2feb0",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-d2feb0.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-langchain-openai-langgr-ae01b8]
url = "https://llm-orchestration-agent-langchain.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-langchain-openai-langgr-ae01b8": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langchain.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-langchain-openai-langgr-ae01b8
Remote MCP URL: https://llm-orchestration-agent-langchain.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-langchain-openai-langgr-ae01b8": {
      "url": "https://llm-orchestration-agent-langchain.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-langchain-openai-langgr-ae01b8": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langchain.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-langchain-openai-langgr-ae01b8",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-langchain.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-anthropic-langchain-com-f78c82]
url = "https://llm-orchestration-agent-langchain-anthropic.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-anthropic-langchain-com-f78c82": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langchain-anthropic.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-anthropic-langchain-com-f78c82
Remote MCP URL: https://llm-orchestration-agent-langchain-anthropic.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-anthropic-langchain-com-f78c82": {
      "url": "https://llm-orchestration-agent-langchain-anthropic.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-anthropic-langchain-com-f78c82": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langchain-anthropic.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-anthropic-langchain-com-f78c82",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-langchain-anthropic.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-core-mcp-openai-29a249]
url = "https://llm-orchestration-agent-langchain-core.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-core-mcp-openai-29a249": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langchain-core.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-core-mcp-openai-29a249
Remote MCP URL: https://llm-orchestration-agent-langchain-core.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-core-mcp-openai-29a249": {
      "url": "https://llm-orchestration-agent-langchain-core.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-core-mcp-openai-29a249": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langchain-core.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-core-mcp-openai-29a249",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-langchain-core.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-langchain-openai-langgr-7f6d74]
url = "https://llm-orchestration-agent-langchain-openai.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-langchain-openai-langgr-7f6d74": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langchain-openai.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-langchain-openai-langgr-7f6d74
Remote MCP URL: https://llm-orchestration-agent-langchain-openai.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-langchain-openai-langgr-7f6d74": {
      "url": "https://llm-orchestration-agent-langchain-openai.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-langchain-openai-langgr-7f6d74": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langchain-openai.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-langchain-openai-langgr-7f6d74",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-langchain-openai.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-core-langgraph-mcp-280d80]
url = "https://llm-orchestration-agent-langgraph.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-core-langgraph-mcp-280d80": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langgraph.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-core-langgraph-mcp-280d80
Remote MCP URL: https://llm-orchestration-agent-langgraph.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-core-langgraph-mcp-280d80": {
      "url": "https://llm-orchestration-agent-langgraph.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-core-langgraph-mcp-280d80": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langgraph.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-core-langgraph-mcp-280d80",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-langgraph.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-langchain-core-langchai-66fa5c]
url = "https://llm-orchestration-agent-langsmith.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-langchain-core-langchai-66fa5c": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langsmith.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-langchain-core-langchai-66fa5c
Remote MCP URL: https://llm-orchestration-agent-langsmith.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-langchain-core-langchai-66fa5c": {
      "url": "https://llm-orchestration-agent-langsmith.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-langchain-core-langchai-66fa5c": {
      "type": "http",
      "url": "https://llm-orchestration-agent-langsmith.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-langchain-core-langchai-66fa5c",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-langsmith.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.cryptography-langchain-openai-mcp-0ac13b]
url = "https://llm-orchestration-agent-mcp.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "cryptography-langchain-openai-mcp-0ac13b": {
      "type": "http",
      "url": "https://llm-orchestration-agent-mcp.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: cryptography-langchain-openai-mcp-0ac13b
Remote MCP URL: https://llm-orchestration-agent-mcp.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "cryptography-langchain-openai-mcp-0ac13b": {
      "url": "https://llm-orchestration-agent-mcp.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cryptography-langchain-openai-mcp-0ac13b": {
      "type": "http",
      "url": "https://llm-orchestration-agent-mcp.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "cryptography-langchain-openai-mcp-0ac13b",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-mcp.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-anthropic-langchain-ope-6af681]
url = "https://llm-orchestration-agent-openai.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-anthropic-langchain-ope-6af681": {
      "type": "http",
      "url": "https://llm-orchestration-agent-openai.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-anthropic-langchain-ope-6af681
Remote MCP URL: https://llm-orchestration-agent-openai.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-anthropic-langchain-ope-6af681": {
      "url": "https://llm-orchestration-agent-openai.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-anthropic-langchain-ope-6af681": {
      "type": "http",
      "url": "https://llm-orchestration-agent-openai.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-anthropic-langchain-ope-6af681",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-openai.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.llm-orchestration-agent-opentelemetry-api]
url = "https://llm-orchestration-agent-opentelemetry-api.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-opentelemetry-api": {
      "type": "http",
      "url": "https://llm-orchestration-agent-opentelemetry-api.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: llm-orchestration-agent-opentelemetry-api
Remote MCP URL: https://llm-orchestration-agent-opentelemetry-api.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-opentelemetry-api": {
      "url": "https://llm-orchestration-agent-opentelemetry-api.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "llm-orchestration-agent-opentelemetry-api": {
      "type": "http",
      "url": "https://llm-orchestration-agent-opentelemetry-api.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "llm-orchestration-agent-opentelemetry-api",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-opentelemetry-api.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.llm-orchestration-agent-opentelemetry-instrume-a]
url = "https://llm-orchestration-agent-opentelemetry-instrume-a529e4.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-opentelemetry-instrume-a": {
      "type": "http",
      "url": "https://llm-orchestration-agent-opentelemetry-instrume-a529e4.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: llm-orchestration-agent-opentelemetry-instrume-a
Remote MCP URL: https://llm-orchestration-agent-opentelemetry-instrume-a529e4.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-opentelemetry-instrume-a": {
      "url": "https://llm-orchestration-agent-opentelemetry-instrume-a529e4.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "llm-orchestration-agent-opentelemetry-instrume-a": {
      "type": "http",
      "url": "https://llm-orchestration-agent-opentelemetry-instrume-a529e4.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "llm-orchestration-agent-opentelemetry-instrume-a",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-agent-opentelemetry-instrume-a529e4.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.llm-orchestration-jwt-agent]
url = "https://llm-orchestration-jwt-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "llm-orchestration-jwt-agent": {
      "type": "http",
      "url": "https://llm-orchestration-jwt-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: llm-orchestration-jwt-agent
Remote MCP URL: https://llm-orchestration-jwt-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "llm-orchestration-jwt-agent": {
      "url": "https://llm-orchestration-jwt-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "llm-orchestration-jwt-agent": {
      "type": "http",
      "url": "https://llm-orchestration-jwt-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "llm-orchestration-jwt-agent",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-jwt-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.cryptography-langchain-langchain-dcb5f0]
url = "https://llm-orchestration-mcp-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "cryptography-langchain-langchain-dcb5f0": {
      "type": "http",
      "url": "https://llm-orchestration-mcp-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: cryptography-langchain-langchain-dcb5f0
Remote MCP URL: https://llm-orchestration-mcp-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "cryptography-langchain-langchain-dcb5f0": {
      "url": "https://llm-orchestration-mcp-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cryptography-langchain-langchain-dcb5f0": {
      "type": "http",
      "url": "https://llm-orchestration-mcp-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "cryptography-langchain-langchain-dcb5f0",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-mcp-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.langchain-langchain-community-lan-6e24db]
url = "https://llm-orchestration-observability-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "langchain-langchain-community-lan-6e24db": {
      "type": "http",
      "url": "https://llm-orchestration-observability-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: langchain-langchain-community-lan-6e24db
Remote MCP URL: https://llm-orchestration-observability-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "langchain-langchain-community-lan-6e24db": {
      "url": "https://llm-orchestration-observability-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "langchain-langchain-community-lan-6e24db": {
      "type": "http",
      "url": "https://llm-orchestration-observability-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "langchain-langchain-community-lan-6e24db",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-observability-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.cryptography-langchain-core-mcp-22c862]
url = "https://llm-orchestration-traced-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "cryptography-langchain-core-mcp-22c862": {
      "type": "http",
      "url": "https://llm-orchestration-traced-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: cryptography-langchain-core-mcp-22c862
Remote MCP URL: https://llm-orchestration-traced-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "cryptography-langchain-core-mcp-22c862": {
      "url": "https://llm-orchestration-traced-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cryptography-langchain-core-mcp-22c862": {
      "type": "http",
      "url": "https://llm-orchestration-traced-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "cryptography-langchain-core-mcp-22c862",
  "transport": "streamable-http",
  "url": "https://llm-orchestration-traced-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.memcached-mongo-redis-4cc448]
url = "https://memcached-mongodb-redis-compose-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "memcached-mongo-redis-4cc448": {
      "type": "http",
      "url": "https://memcached-mongodb-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: memcached-mongo-redis-4cc448
Remote MCP URL: https://memcached-mongodb-redis-compose-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "memcached-mongo-redis-4cc448": {
      "url": "https://memcached-mongodb-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "memcached-mongo-redis-4cc448": {
      "type": "http",
      "url": "https://memcached-mongodb-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "memcached-mongo-redis-4cc448",
  "transport": "streamable-http",
  "url": "https://memcached-mongodb-redis-compose-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.minio-minio-redis-8f2c54]
url = "https://redis-minio-stack-generator-minio-minio.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "minio-minio-redis-8f2c54": {
      "type": "http",
      "url": "https://redis-minio-stack-generator-minio-minio.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: minio-minio-redis-8f2c54
Remote MCP URL: https://redis-minio-stack-generator-minio-minio.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "minio-minio-redis-8f2c54": {
      "url": "https://redis-minio-stack-generator-minio-minio.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "minio-minio-redis-8f2c54": {
      "type": "http",
      "url": "https://redis-minio-stack-generator-minio-minio.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "minio-minio-redis-8f2c54",
  "transport": "streamable-http",
  "url": "https://redis-minio-stack-generator-minio-minio.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.minio-mc-minio-minio-postgres-c93202]
url = "https://minio-postgres-redis-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "minio-mc-minio-minio-postgres-c93202": {
      "type": "http",
      "url": "https://minio-postgres-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: minio-mc-minio-minio-postgres-c93202
Remote MCP URL: https://minio-postgres-redis-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "minio-mc-minio-minio-postgres-c93202": {
      "url": "https://minio-postgres-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "minio-mc-minio-minio-postgres-c93202": {
      "type": "http",
      "url": "https://minio-postgres-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "minio-mc-minio-minio-postgres-c93202",
  "transport": "streamable-http",
  "url": "https://minio-postgres-redis-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.instructor-litellm-6af681]
url = "https://instructor-litellm-6af681.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "instructor-litellm-6af681": {
      "type": "http",
      "url": "https://instructor-litellm-6af681.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: instructor-litellm-6af681
Remote MCP URL: https://instructor-litellm-6af681.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "instructor-litellm-6af681": {
      "url": "https://instructor-litellm-6af681.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "instructor-litellm-6af681": {
      "type": "http",
      "url": "https://instructor-litellm-6af681.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "instructor-litellm-6af681",
  "transport": "streamable-http",
  "url": "https://instructor-litellm-6af681.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.mysql-redis-c736ae]
url = "https://mysql-redis-compose-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "mysql-redis-c736ae": {
      "type": "http",
      "url": "https://mysql-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: mysql-redis-c736ae
Remote MCP URL: https://mysql-redis-compose-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "mysql-redis-c736ae": {
      "url": "https://mysql-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "mysql-redis-c736ae": {
      "type": "http",
      "url": "https://mysql-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "mysql-redis-c736ae",
  "transport": "streamable-http",
  "url": "https://mysql-redis-compose-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.adminer-mysql-redis-a79723]
url = "https://mysql-redis-compose-generator-adminer.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "adminer-mysql-redis-a79723": {
      "type": "http",
      "url": "https://mysql-redis-compose-generator-adminer.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: adminer-mysql-redis-a79723
Remote MCP URL: https://mysql-redis-compose-generator-adminer.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "adminer-mysql-redis-a79723": {
      "url": "https://mysql-redis-compose-generator-adminer.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "adminer-mysql-redis-a79723": {
      "type": "http",
      "url": "https://mysql-redis-compose-generator-adminer.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "adminer-mysql-redis-a79723",
  "transport": "streamable-http",
  "url": "https://mysql-redis-compose-generator-adminer.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.mysql-nginx-redis-b24ef9]
url = "https://mysql-redis-compose-generator-nginx.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "mysql-nginx-redis-b24ef9": {
      "type": "http",
      "url": "https://mysql-redis-compose-generator-nginx.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: mysql-nginx-redis-b24ef9
Remote MCP URL: https://mysql-redis-compose-generator-nginx.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "mysql-nginx-redis-b24ef9": {
      "url": "https://mysql-redis-compose-generator-nginx.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "mysql-nginx-redis-b24ef9": {
      "type": "http",
      "url": "https://mysql-redis-compose-generator-nginx.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "mysql-nginx-redis-b24ef9",
  "transport": "streamable-http",
  "url": "https://mysql-redis-compose-generator-nginx.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.nats-mysql-redis-stack-generator]
url = "https://nats-mysql-redis-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "nats-mysql-redis-stack-generator": {
      "type": "http",
      "url": "https://nats-mysql-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: nats-mysql-redis-stack-generator
Remote MCP URL: https://nats-mysql-redis-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "nats-mysql-redis-stack-generator": {
      "url": "https://nats-mysql-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "nats-mysql-redis-stack-generator": {
      "type": "http",
      "url": "https://nats-mysql-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "nats-mysql-redis-stack-generator",
  "transport": "streamable-http",
  "url": "https://nats-mysql-redis-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.nginx-redis-7f29d8]
url = "https://nginx-redis-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "nginx-redis-7f29d8": {
      "type": "http",
      "url": "https://nginx-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: nginx-redis-7f29d8
Remote MCP URL: https://nginx-redis-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "nginx-redis-7f29d8": {
      "url": "https://nginx-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "nginx-redis-7f29d8": {
      "type": "http",
      "url": "https://nginx-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "nginx-redis-7f29d8",
  "transport": "streamable-http",
  "url": "https://nginx-redis-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.google-auth-oauthlib-langchain-mc-f0143f]
url = "https://authenticated-llm-agent-google-auth-oauthlib.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "google-auth-oauthlib-langchain-mc-f0143f": {
      "type": "http",
      "url": "https://authenticated-llm-agent-google-auth-oauthlib.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: google-auth-oauthlib-langchain-mc-f0143f
Remote MCP URL: https://authenticated-llm-agent-google-auth-oauthlib.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "google-auth-oauthlib-langchain-mc-f0143f": {
      "url": "https://authenticated-llm-agent-google-auth-oauthlib.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "google-auth-oauthlib-langchain-mc-f0143f": {
      "type": "http",
      "url": "https://authenticated-llm-agent-google-auth-oauthlib.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "google-auth-oauthlib-langchain-mc-f0143f",
  "transport": "streamable-http",
  "url": "https://authenticated-llm-agent-google-auth-oauthlib.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.cryptography-google-auth-oauthlib-931267]
url = "https://cryptography-google-auth-oauthlib-931267.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "cryptography-google-auth-oauthlib-931267": {
      "type": "http",
      "url": "https://cryptography-google-auth-oauthlib-931267.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: cryptography-google-auth-oauthlib-931267
Remote MCP URL: https://cryptography-google-auth-oauthlib-931267.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "cryptography-google-auth-oauthlib-931267": {
      "url": "https://cryptography-google-auth-oauthlib-931267.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cryptography-google-auth-oauthlib-931267": {
      "type": "http",
      "url": "https://cryptography-google-auth-oauthlib-931267.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "cryptography-google-auth-oauthlib-931267",
  "transport": "streamable-http",
  "url": "https://cryptography-google-auth-oauthlib-931267.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.grafana-grafana-postgres-prom-pro-51839f]
url = "https://observable-backend-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "grafana-grafana-postgres-prom-pro-51839f": {
      "type": "http",
      "url": "https://observable-backend-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: grafana-grafana-postgres-prom-pro-51839f
Remote MCP URL: https://observable-backend-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "grafana-grafana-postgres-prom-pro-51839f": {
      "url": "https://observable-backend-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "grafana-grafana-postgres-prom-pro-51839f": {
      "type": "http",
      "url": "https://observable-backend-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "grafana-grafana-postgres-prom-pro-51839f",
  "transport": "streamable-http",
  "url": "https://observable-backend-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.bcrypt-python-jose-1b8dd0]
url = "https://bcrypt-python-jose-1b8dd0.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "bcrypt-python-jose-1b8dd0": {
      "type": "http",
      "url": "https://bcrypt-python-jose-1b8dd0.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: bcrypt-python-jose-1b8dd0
Remote MCP URL: https://bcrypt-python-jose-1b8dd0.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "bcrypt-python-jose-1b8dd0": {
      "url": "https://bcrypt-python-jose-1b8dd0.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bcrypt-python-jose-1b8dd0": {
      "type": "http",
      "url": "https://bcrypt-python-jose-1b8dd0.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "bcrypt-python-jose-1b8dd0",
  "transport": "streamable-http",
  "url": "https://bcrypt-python-jose-1b8dd0.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.grafana-grafana-grafana-loki-post-452481]
url = "https://postgres-grafana-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "grafana-grafana-grafana-loki-post-452481": {
      "type": "http",
      "url": "https://postgres-grafana-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: grafana-grafana-grafana-loki-post-452481
Remote MCP URL: https://postgres-grafana-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "grafana-grafana-grafana-loki-post-452481": {
      "url": "https://postgres-grafana-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "grafana-grafana-grafana-loki-post-452481": {
      "type": "http",
      "url": "https://postgres-grafana-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "grafana-grafana-grafana-loki-post-452481",
  "transport": "streamable-http",
  "url": "https://postgres-grafana-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.confluentinc-cp-kafka-postgres-pr-60ca80]
url = "https://postgres-kafka-prometheus-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-postgres-pr-60ca80": {
      "type": "http",
      "url": "https://postgres-kafka-prometheus-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: confluentinc-cp-kafka-postgres-pr-60ca80
Remote MCP URL: https://postgres-kafka-prometheus-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-postgres-pr-60ca80": {
      "url": "https://postgres-kafka-prometheus-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "confluentinc-cp-kafka-postgres-pr-60ca80": {
      "type": "http",
      "url": "https://postgres-kafka-prometheus-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "confluentinc-cp-kafka-postgres-pr-60ca80",
  "transport": "streamable-http",
  "url": "https://postgres-kafka-prometheus-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.confluentinc-cp-kafka-confluentin-83a0d7]
url = "https://postgres-kafka-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-confluentin-83a0d7": {
      "type": "http",
      "url": "https://postgres-kafka-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: confluentinc-cp-kafka-confluentin-83a0d7
Remote MCP URL: https://postgres-kafka-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "confluentinc-cp-kafka-confluentin-83a0d7": {
      "url": "https://postgres-kafka-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "confluentinc-cp-kafka-confluentin-83a0d7": {
      "type": "http",
      "url": "https://postgres-kafka-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "confluentinc-cp-kafka-confluentin-83a0d7",
  "transport": "streamable-http",
  "url": "https://postgres-kafka-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.minio-minio-postgres-ff7470]
url = "https://postgres-minio-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "minio-minio-postgres-ff7470": {
      "type": "http",
      "url": "https://postgres-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: minio-minio-postgres-ff7470
Remote MCP URL: https://postgres-minio-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "minio-minio-postgres-ff7470": {
      "url": "https://postgres-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "minio-minio-postgres-ff7470": {
      "type": "http",
      "url": "https://postgres-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "minio-minio-postgres-ff7470",
  "transport": "streamable-http",
  "url": "https://postgres-minio-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.confluentinc-cp-zookeeper-postgre-48e7f1]
url = "https://postgres-prometheus-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "confluentinc-cp-zookeeper-postgre-48e7f1": {
      "type": "http",
      "url": "https://postgres-prometheus-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: confluentinc-cp-zookeeper-postgre-48e7f1
Remote MCP URL: https://postgres-prometheus-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "confluentinc-cp-zookeeper-postgre-48e7f1": {
      "url": "https://postgres-prometheus-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "confluentinc-cp-zookeeper-postgre-48e7f1": {
      "type": "http",
      "url": "https://postgres-prometheus-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "confluentinc-cp-zookeeper-postgre-48e7f1",
  "transport": "streamable-http",
  "url": "https://postgres-prometheus-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.postgres-redis-10a16c]
url = "https://postgres-redis-compose-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "postgres-redis-10a16c": {
      "type": "http",
      "url": "https://postgres-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: postgres-redis-10a16c
Remote MCP URL: https://postgres-redis-compose-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "postgres-redis-10a16c": {
      "url": "https://postgres-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "postgres-redis-10a16c": {
      "type": "http",
      "url": "https://postgres-redis-compose-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "postgres-redis-10a16c",
  "transport": "streamable-http",
  "url": "https://postgres-redis-compose-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.rabbitmq-elasticsearch-mongodb-stack-generator]
url = "https://rabbitmq-elasticsearch-mongodb-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "rabbitmq-elasticsearch-mongodb-stack-generator": {
      "type": "http",
      "url": "https://rabbitmq-elasticsearch-mongodb-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: rabbitmq-elasticsearch-mongodb-stack-generator
Remote MCP URL: https://rabbitmq-elasticsearch-mongodb-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "rabbitmq-elasticsearch-mongodb-stack-generator": {
      "url": "https://rabbitmq-elasticsearch-mongodb-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "rabbitmq-elasticsearch-mongodb-stack-generator": {
      "type": "http",
      "url": "https://rabbitmq-elasticsearch-mongodb-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "rabbitmq-elasticsearch-mongodb-stack-generator",
  "transport": "streamable-http",
  "url": "https://rabbitmq-elasticsearch-mongodb-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.rabbitmq-elasticsearch-mysql-stack-generator]
url = "https://rabbitmq-elasticsearch-mysql-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "rabbitmq-elasticsearch-mysql-stack-generator": {
      "type": "http",
      "url": "https://rabbitmq-elasticsearch-mysql-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: rabbitmq-elasticsearch-mysql-stack-generator
Remote MCP URL: https://rabbitmq-elasticsearch-mysql-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "rabbitmq-elasticsearch-mysql-stack-generator": {
      "url": "https://rabbitmq-elasticsearch-mysql-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "rabbitmq-elasticsearch-mysql-stack-generator": {
      "type": "http",
      "url": "https://rabbitmq-elasticsearch-mysql-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "rabbitmq-elasticsearch-mysql-stack-generator",
  "transport": "streamable-http",
  "url": "https://rabbitmq-elasticsearch-mysql-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.rabbitmq-elasticsearch-postgres-stack-generato-0]
url = "https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "rabbitmq-elasticsearch-postgres-stack-generato-0": {
      "type": "http",
      "url": "https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: rabbitmq-elasticsearch-postgres-stack-generato-0
Remote MCP URL: https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "rabbitmq-elasticsearch-postgres-stack-generato-0": {
      "url": "https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "rabbitmq-elasticsearch-postgres-stack-generato-0": {
      "type": "http",
      "url": "https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "rabbitmq-elasticsearch-postgres-stack-generato-0",
  "transport": "streamable-http",
  "url": "https://rabbitmq-elasticsearch-postgres-stack-generato-053bcf.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.rabbitmq-elasticsearch-postgres-stack-generator-]
url = "https://rabbitmq-elasticsearch-postgres-stack-generator-mongo.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "rabbitmq-elasticsearch-postgres-stack-generator-": {
      "type": "http",
      "url": "https://rabbitmq-elasticsearch-postgres-stack-generator-mongo.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: rabbitmq-elasticsearch-postgres-stack-generator-
Remote MCP URL: https://rabbitmq-elasticsearch-postgres-stack-generator-mongo.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "rabbitmq-elasticsearch-postgres-stack-generator-": {
      "url": "https://rabbitmq-elasticsearch-postgres-stack-generator-mongo.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "rabbitmq-elasticsearch-postgres-stack-generator-": {
      "type": "http",
      "url": "https://rabbitmq-elasticsearch-postgres-stack-generator-mongo.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "rabbitmq-elasticsearch-postgres-stack-generator-",
  "transport": "streamable-http",
  "url": "https://rabbitmq-elasticsearch-postgres-stack-generator-mongo.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.rabbitmq-postgres-mongodb-stack-generator]
url = "https://rabbitmq-postgres-mongodb-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "rabbitmq-postgres-mongodb-stack-generator": {
      "type": "http",
      "url": "https://rabbitmq-postgres-mongodb-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: rabbitmq-postgres-mongodb-stack-generator
Remote MCP URL: https://rabbitmq-postgres-mongodb-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "rabbitmq-postgres-mongodb-stack-generator": {
      "url": "https://rabbitmq-postgres-mongodb-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "rabbitmq-postgres-mongodb-stack-generator": {
      "type": "http",
      "url": "https://rabbitmq-postgres-mongodb-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "rabbitmq-postgres-mongodb-stack-generator",
  "transport": "streamable-http",
  "url": "https://rabbitmq-postgres-mongodb-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.rabbitmq-redis-e257b7]
url = "https://rabbitmq-redis-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "rabbitmq-redis-e257b7": {
      "type": "http",
      "url": "https://rabbitmq-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: rabbitmq-redis-e257b7
Remote MCP URL: https://rabbitmq-redis-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "rabbitmq-redis-e257b7": {
      "url": "https://rabbitmq-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "rabbitmq-redis-e257b7": {
      "type": "http",
      "url": "https://rabbitmq-redis-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "rabbitmq-redis-e257b7",
  "transport": "streamable-http",
  "url": "https://rabbitmq-redis-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.minio-minio-postgres-redis-f309ea]
url = "https://redis-minio-postgres-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "minio-minio-postgres-redis-f309ea": {
      "type": "http",
      "url": "https://redis-minio-postgres-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: minio-minio-postgres-redis-f309ea
Remote MCP URL: https://redis-minio-postgres-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "minio-minio-postgres-redis-f309ea": {
      "url": "https://redis-minio-postgres-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "minio-minio-postgres-redis-f309ea": {
      "type": "http",
      "url": "https://redis-minio-postgres-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "minio-minio-postgres-redis-f309ea",
  "transport": "streamable-http",
  "url": "https://redis-minio-postgres-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.confluentinc-cp-zookeeper-minio-m-545495]
url = "https://redis-minio-stack-generator.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "confluentinc-cp-zookeeper-minio-m-545495": {
      "type": "http",
      "url": "https://redis-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: confluentinc-cp-zookeeper-minio-m-545495
Remote MCP URL: https://redis-minio-stack-generator.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "confluentinc-cp-zookeeper-minio-m-545495": {
      "url": "https://redis-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "confluentinc-cp-zookeeper-minio-m-545495": {
      "type": "http",
      "url": "https://redis-minio-stack-generator.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "confluentinc-cp-zookeeper-minio-m-545495",
  "transport": "streamable-http",
  "url": "https://redis-minio-stack-generator.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.fastmcp-instructor-72225f]
url = "https://structured-output-agent.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "fastmcp-instructor-72225f": {
      "type": "http",
      "url": "https://structured-output-agent.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: fastmcp-instructor-72225f
Remote MCP URL: https://structured-output-agent.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

.cursor/mcp.json

{
  "mcpServers": {
    "fastmcp-instructor-72225f": {
      "url": "https://structured-output-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "fastmcp-instructor-72225f": {
      "type": "http",
      "url": "https://structured-output-agent.getvda.ai/mcp"
    }
  }
}

Client-specific MCP configuration

{
  "name": "fastmcp-instructor-72225f",
  "transport": "streamable-http",
  "url": "https://structured-output-agent.getvda.ai/mcp"
}

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

~/.codex/config.toml

[mcp_servers.groq-instructor-langchain-communi-c2ddcc]
url = "https://structured-output-agent-c2ddcc.getvda.ai/mcp"
enabled = true

.mcp.json

{
  "mcpServers": {
    "groq-instructor-langchain-communi-c2ddcc": {
      "type": "http",
      "url": "https://structured-output-agent-c2ddcc.getvda.ai/mcp"
    }
  }
}

Settings → Connectors → Add custom connector

Name: groq-instructor-langchain-communi-c2ddcc
Remote MCP URL: https://structured-output-agent-c2ddcc.getvda.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.