Metro MCP
AI chatbot interface for Washington Metro transit APIs
Problem & Solution
The Problem
Transit riders need quick access to Metro information but existing apps require navigation through multiple screens. There's no conversational interface that allows natural language queries about Metro services.
The Solution
Built an MCP server that bridges AI chatbots with WMATA APIs, enabling users to ask conversational questions like 'When is the next Red Line train at Dupont Circle?' and get immediate, accurate responses.
Product Highlights
Implemented Model Context Protocol server for seamless AI integration with transit APIs
Created natural language interface for complex transit queries and route planning
Implemented serverless architecture using Cloudflare Workers for reliable, scalable deployment
Integrated OAuth authentication system for secure API access management
Technologies & Approach
Metro MCP is a Model Context Protocol (MCP) server that creates an intelligent interface between AI chatbots and the Washington Metro system. Users can ask natural language questions about transit information and receive real-time responses about schedules, delays, and routes.
Key Challenges
Designing effective natural language processing for transit-specific queries
Implementing reliable API integration with WMATA's real-time data feeds
Creating serverless architecture that handles varying query loads efficiently
Building authentication system that balances security with ease of use