Transcript Spike

A small Model Context Protocol server that lets an LLM inspect and search mock transcripts stored in data/transcripts.json.

Requirements

• Node.js 18 or newer
• npm

Transports

This server supports two transports:

1. stdio — the MCP client spawns the process (default)
2. Streamable HTTP — you run the server and point the client at http://127.0.0.1:3000/mcp

HTTP (localhost)

Start the server:

npm run mcp:http

Or with auto-reload while editing TypeScript:

npm run dev:http

Then configure the client with a URL:

{
  "mcpServers": {
    "transcripts": {
      "url": "http://127.0.0.1:3000/mcp"
    }
  }
}

Optional env vars:

• PORT — listen port (default 3000)
• MCP_TRANSPORT=http — same as passing --http

Inspector:

npx @modelcontextprotocol/inspector http://127.0.0.1:3000/mcp

stdio (spawned by the client)

No separate server process. Point the client at the TypeScript source:

{
  "mcpServers": {
    "transcripts": {
      "command": "npx",
      "args": [
        "tsx",
        "/absolute/path/to/mcp-spike/src/server.ts"
      ]
    }
  }
}

Or use the compiled build after npm run build:

{
  "mcpServers": {
    "transcripts": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-spike/dist/server.js"]
    }
  }
}

MCP capabilities

Resource:

• transcripts://all returns the complete JSON dataset.

Tools:

• list_transcripts lists metadata and supports participant and tag filters.
• get_transcript returns a full transcript by ID.
• search_transcripts searches titles, participants, tags, speakers, and spoken text.

Edits to data/transcripts.json are picked up on the next tool/resource call. Invalid data is rejected using a Zod schema.