#TfL

A Model Context Protocol (MCP) server that creates a bridge between AI language models and the Trakt.tv API, allowing LLMs to access real-time entertainment data and personal Trakt viewing history. Built with a domain-focused architecture using FastMCP, providing clean separation of concerns across authentication, shows, movies, user data, comments, search, and check-in functionality.

This Model Context Protocol (MCP) server provides AI assistants with access to real-time Transport for London data through a set of automated tools.

MCP server implementation for PocketFlow - A codebase analysis and tutorial generation tool

InsightFlow - a real-time analytics dashboard server with an MCP (Message Control Protocol) architecture that integrates with AI services like Claude or Cursor. This solution enables real-time data analytics with natural language query capabilities.