labs-catalog-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@labs-catalog-mcplist labs in collection 3"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
labs-catalog-mcp
A real MCP server, with a real captured session. LB-07 in the AI Labs portfolio's Live Builds collection: the portfolio's MCP Server Contract Workbench (GAP-01) simulates the wire protocol to teach it — this repo is the live counterpart a real client can connect to.
The server exposes the portfolio's own labs registry as tools:
tool | what it does |
| list labs, filter by collection (0–5) or badge (LIVE/SIMULATED) |
| one lab's problem, decision, status, route |
| find the lab for the enterprise decision you're facing |
Run it
npm install
npm start # stdio MCP server
npm run capture # real client session -> session-transcript.jsonl + console outputRelated MCP server: scan-your-ai-toolkit
Connect Claude Desktop
{
"mcpServers": {
"labs-catalog": { "command": "node", "args": ["/absolute/path/to/server.mjs"] }
}
}The captured session
session-transcript.jsonl / session.md hold an actual recorded session — initialize handshake, tools/list,
and three tool calls, both directions, timestamped. Recorded by tee-wire.mjs, a 30-line wire tap between
client and server; re-run npm run capture and it regenerates. No frame in this repo is hand-written.
Honesty & attribution
Built on @modelcontextprotocol/sdk (MIT) and zod.
Catalog data is a generated snapshot of the portfolio's packages/kit/src/registry.ts. Server, wire tap, and
capture harness are original. MIT licensed.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/sudeeplalka-hash/labs-catalog-mcp'
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