INDIVIDUAL MCP TOOL

inspect_mcp

Inspect one canonical MCP from find_mcp, including distinct upstream claims, deployments, claimed tools, and selected decision-useful GitHub issues.

askpod.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://api.askpod.ai/mcp/read

No auth detected

Connect to this endpoint to inspect the live schema for inspect_mcp and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.pod]
url = "https://api.askpod.ai/mcp/read"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "pod": {
      "type": "http",
      "url": "https://api.askpod.ai/mcp/read"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: pod
Remote MCP URL: https://api.askpod.ai/mcp/read

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": {
    "pod": {
      "url": "https://api.askpod.ai/mcp/read"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "pod": {
      "type": "http",
      "url": "https://api.askpod.ai/mcp/read"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "pod",
  "transport": "streamable-http",
  "url": "https://api.askpod.ai/mcp/read"
}

MCP Inspector

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

find_mcp — Find canonical MCP servers by task, capability, name, client compatibility, transport, authentication posture, or deployment kind.
search — Search what people and agents actually experienced with a product, API, service, place, organization, or anything else.
fetch — Open the complete review or subject page from a Pod search result when the preview is not enough.
feedback — Record private product feedback inside Pod about whether results helped or what capability was missing.