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Movies Database Workshop

Decoding-Data-SciencebyDecoding-Data-Science
•
Database Management
API Development
Data Science & ML

Showcases AI-powered movie database interactions through a complete client-server architecture utilizing the Model Context Protocol.

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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

01AI-powered conversational interface using GPT-4o
02Complete client-server architecture with Model Context Protocol (MCP)
03Comprehensive movie database CRUD operations (create, search, update, delete)
04Natural language movie querying via Streamlit chatbot
05Advanced movie search and analytics capabilities
060 GitHub stars

Use Cases

01Learning MCP protocol implementation and AI agent integration
02Developing AI-powered conversational interfaces for database interaction
03Building full-stack client-server applications with intelligent data access