Transcript MCP spike
Enables LLMs to inspect and search mock transcripts through MCP tools and resources. Supports listing, fetching, and searching transcripts with filters on participants, tags, and content.
README
Transcript MCP 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:
- stdio — the MCP client spawns the process (default)
- 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 (default3000)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://allreturns the complete JSON dataset.
Tools:
list_transcriptslists metadata and supports participant and tag filters.get_transcriptreturns a full transcript by ID.search_transcriptssearches 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.
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