Movies Database Workshop
Showcases AI-powered movie database interactions through a complete client-server architecture utilizing the Model Context Protocol.
About
This project serves as a comprehensive demonstration of building production-ready applications using the Model Context Protocol (MCP). It features a robust client-server architecture where an MCP Server exposes rich movie database CRUD and analytics operations, while an MCP Client, implemented as a Streamlit chatbot, allows users to interact with the database using natural language queries powered by GPT-4o. The system includes a SQLite database layer pre-populated with extensive movie data, providing a practical example of integrating AI agents with structured data for intelligent data retrieval and manipulation.
Key Features
- AI-powered conversational interface using GPT-4o
- Complete client-server architecture with Model Context Protocol (MCP)
- Comprehensive movie database CRUD operations (create, search, update, delete)
- Natural language movie querying via Streamlit chatbot
- Advanced movie search and analytics capabilities
- 0 GitHub stars
Use Cases
- Learning MCP protocol implementation and AI agent integration
- Developing AI-powered conversational interfaces for database interaction
- Building full-stack client-server applications with intelligent data access
