Demonstrates intelligent AI agent implementation, interacting with custom tools and databases via the Model Context Protocol for natural language expense management.
This project showcases how to build intelligent AI agents using the Model Context Protocol (MCP) through a real-world expense tracking application. It provides a practical demonstration of creating a custom MCP server with FastAPI, integrating AI agents with various tools, and offering a natural language interface for managing personal finances. Users can chat with the AI to add expenses, get summaries, and manage their data across multiple clients like a web UI or Telegram bot, highlighting the power of tool discovery and conversational AI in a production-ready setup.