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TFL MCP Server for Poke

AI & Memory Local

Enables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.

Install from GitHub GitHub Docs Glama

How to connect

  1. Glama registry

    View https://glama.ai/mcp/servers/ff2d4uddiv for deploy options, or install from https://github.com/VJagiasi/tfl-mcp (see README for MCP config).

  2. GitHub

    Install from https://github.com/VJagiasi/tfl-mcp and add the server to your MCP client configuration (see repository README).

Tools

Tool names are not listed in our registry for this server. Use Connect or Install above, then open your MCP client to see the live tool list.