London TfL Journey Status
byanoopt
0Integrates real-time Transport for London (TfL) data into AI assistants via the Model Context Protocol (MCP) to provide journey planning and status updates.
About
This server acts as a Model Context Protocol (MCP) bridge, enabling AI assistants like Claude Desktop and VS Code GitHub Copilot to tap into live Transport for London (TfL) data. It offers a suite of automated tools that allow AI assistants to check line statuses, retrieve detailed disruption information, and plan optimal journeys across London's public transport network. Designed for ease of integration, it empowers AI assistants to deliver real-time travel advice and information to users.
Key Features
- Retrieve current status of any TfL line (e.g., Central, Victoria)
- Integrates with AI assistants like Claude Desktop and GitHub Copilot
- Obtain detailed disruption information for specific TfL lines
- Plan journeys between two locations using the TfL Journey Planner
- Supports multiple deployment options (npm, local dev, Docker)
- 0 GitHub stars
Use Cases
- Plan optimal routes between London locations with AI assistance
- Get detailed information about service disruptions
- Check tube line status before commuting
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