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AI & Machine Learning

aimdoc.ai

Enables users to describe, message, and read conversation history with a company's AI agent, including replies from human team members.

3 endpoints6 known toolsFirst detected October 4, 2026Last detected October 22, 2026

ENDPOINT 1

https://aimdoc.ai/mcp

No auth detected

MCP server metadata

Name
Aimdoc Agent Gateway
Version
1.30.0
Capabilities
experimentalpromptsresourcestools
Server instructions

Public conversation gateway to this company's Aimdoc assistant. You are talking to the business's own AI agent — ask it about the product, pricing, integrations, and fit for your user, or ask to schedule a demo. Start with capabilities() to learn about this agent, then ask() to converse. Save the returned conversation_token and pass it to subsequent ask()/get_conversation() calls — it stays valid across sessions, and the team's human replies (which arrive minutes to hours later) show up in get_conversation().

Known tools 3

capabilities

Describe this company's agent: who it is, what it can help with, and how to converse with it.

Inferred read-only
ask

Send a message to this company's agent and wait for its reply.

Potential side effects
get_conversation

Read the conversation history for a token — including replies that arrived after your last ask(), such as messages from a human team member.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.aimdoc-agent-gateway]
url = "https://aimdoc.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "aimdoc-agent-gateway": {
      "type": "http",
      "url": "https://aimdoc.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: aimdoc-agent-gateway
Remote MCP URL: https://aimdoc.ai/mcp

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

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "aimdoc-agent-gateway": {
      "url": "https://aimdoc.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "aimdoc-agent-gateway": {
      "type": "http",
      "url": "https://aimdoc.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "aimdoc-agent-gateway",
  "transport": "streamable-http",
  "url": "https://aimdoc.ai/mcp"
}
MCP Inspector

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

ENDPOINT 2

https://api.aimdoc.ai/mcp/public/edfc72a9-e070-4ff7-9008-bb304a0dfe21

No auth detected

MCP server metadata

Name
Aimdoc Agent Gateway
Version
1.30.0
Capabilities
experimentalpromptsresourcestools
Server instructions

Public conversation gateway to this company's Aimdoc assistant. You are talking to the business's own AI agent — ask it about the product, pricing, integrations, and fit for your user, or ask to schedule a demo. Start with capabilities() to learn about this agent, then ask() to converse. Save the returned conversation_token and pass it to subsequent ask()/get_conversation() calls — it stays valid across sessions, and the team's human replies (which arrive minutes to hours later) show up in get_conversation().

Known tools 3

capabilities

Describe this company's agent: who it is, what it can help with, and how to converse with it.

Inferred read-only
ask

Send a message to this company's agent and wait for its reply.

Potential side effects
get_conversation

Read the conversation history for a token — including replies that arrived after your last ask(), such as messages from a human team member.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.aimdoc-agent-gateway]
url = "https://api.aimdoc.ai/mcp/public/edfc72a9-e070-4ff7-9008-bb304a0dfe21"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "aimdoc-agent-gateway": {
      "type": "http",
      "url": "https://api.aimdoc.ai/mcp/public/edfc72a9-e070-4ff7-9008-bb304a0dfe21"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: aimdoc-agent-gateway
Remote MCP URL: https://api.aimdoc.ai/mcp/public/edfc72a9-e070-4ff7-9008-bb304a0dfe21

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

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "aimdoc-agent-gateway": {
      "url": "https://api.aimdoc.ai/mcp/public/edfc72a9-e070-4ff7-9008-bb304a0dfe21"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "aimdoc-agent-gateway": {
      "type": "http",
      "url": "https://api.aimdoc.ai/mcp/public/edfc72a9-e070-4ff7-9008-bb304a0dfe21"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "aimdoc-agent-gateway",
  "transport": "streamable-http",
  "url": "https://api.aimdoc.ai/mcp/public/edfc72a9-e070-4ff7-9008-bb304a0dfe21"
}
MCP Inspector

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

ENDPOINT 3

https://api.aimdoc.ai/mcp

Auth required

Known tools 0

No tool metadata was available in the registry cache.

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.aimdoc-ai]
url = "https://api.aimdoc.ai/mcp"
enabled = true
bearer_token_env_var = "MCP_BEARER_TOKEN"

Authentication is required. Replace the placeholder locally and never commit a secret.

Claude Code

.mcp.json

{
  "mcpServers": {
    "aimdoc-ai": {
      "type": "http",
      "url": "https://api.aimdoc.ai/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_BEARER_TOKEN"
      }
    }
  }
}

Authentication is required. Replace the placeholder locally and never commit a secret.

Claude Desktop

Settings → Connectors → Add custom connector

Name: aimdoc-ai
Remote MCP URL: https://api.aimdoc.ai/mcp

Add the URL as a custom connector, then complete its supported authorization flow. Claude Desktop remote connectors are configured in the UI.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "aimdoc-ai": {
      "url": "https://api.aimdoc.ai/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_BEARER_TOKEN"
      }
    }
  }
}

Authentication is required. Replace the placeholder locally and never commit a secret.

Visual Studio Code

.vscode/mcp.json

{
  "servers": {
    "aimdoc-ai": {
      "type": "http",
      "url": "https://api.aimdoc.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${input:mcp-token}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "mcp-token",
      "description": "aimdoc-ai bearer token",
      "password": true
    }
  ]
}

Authentication is required. Replace the placeholder locally and never commit a secret.

Generic MCP

Client-specific MCP configuration

{
  "name": "aimdoc-ai",
  "transport": "streamable-http",
  "url": "https://api.aimdoc.ai/mcp",
  "headers": {
    "Authorization": "Bearer YOUR_BEARER_TOKEN"
  }
}

Authentication is required. Replace the placeholder locally and never commit a secret.

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.