TfL
Community-built server providing real-time London transport data via the TfL Unified API
What is TfL?
TfL is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to community-built server providing real-time london transport data via the tfl unified api
Community-built server providing real-time London transport data via the TfL Unified API
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Community-built server providing real-time London transport
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-oneill9-tflConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about TfL
What is TfL?
TfL is a Model Context Protocol (MCP) server that community-built server providing real-time london transport data via the tfl unified api It connects AI assistants to external tools and data sources through a standardized interface.
How do I install TfL?
Follow the installation instructions on the TfL GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with TfL?
TfL works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is TfL free to use?
Yes, TfL is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
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Set Up TfL in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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