INDIVIDUAL MCP TOOL

get_episode

Returns one episode by number or slug (a full chainofthought.

chainofthought.shownone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.chainofthought.show/mcp

No auth detected

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

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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.chain-of-thought-podcast]
url = "https://mcp.chainofthought.show/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "chain-of-thought-podcast": {
      "type": "http",
      "url": "https://mcp.chainofthought.show/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: chain-of-thought-podcast
Remote MCP URL: https://mcp.chainofthought.show/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": {
    "chain-of-thought-podcast": {
      "url": "https://mcp.chainofthought.show/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "chain-of-thought-podcast": {
      "type": "http",
      "url": "https://mcp.chainofthought.show/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "chain-of-thought-podcast",
  "transport": "streamable-http",
  "url": "https://mcp.chainofthought.show/mcp"
}

MCP Inspector

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

search_transcripts — Full-text search over Chain of Thought transcripts.
search_episodes — Finds Chain of Thought episodes by topic, guest name, company, title or chapter title.
get_transcript_excerpt — Returns up to 16 consecutive transcript segments from one episode around a timestamp (m:ss or h:mm:ss), a segment_index from search results, or a passage url or its #t- anchor.