golam74/MCP_SERVER is an MCP (Model Context Protocol) server.
View on GitHub ↗Production-Ready Model Context Protocol Server Built with Python & FastMCP
A clean, modular, scalable, and Docker-ready implementation of the Model Context Protocol (MCP), designed for AI applications and developer productivity.
- 📖 Overview - ✨ Features - 🏗 Architecture - 📂 Project Structure - 🛠 Tech Stack - 🚀 Getting Started - 🐳 Docker - ⚙ Configuration - 🧩 Available Tools - 📜 Logging - 📊 Roadmap - 🤝 Contributing - 📄 License
The MCP Server is a production-ready implementation of the Model Context Protocol (MCP) using Python and FastMCP.
This project demonstrates how to build scalable, modular, and maintainable MCP servers that can expose reusable tools for AI assistants and MCP-compatible clients.
Unlike simple examples, this repository follows a production-oriented architecture with centralized tool registration, structured logging, Docker support, and a clean project layout.
- 📚 A learning resource for developers exploring MCP. - 🏗 A solid foundation for building real-world AI tool servers.
Feature Status ------------------ FastMCP Server ✅ Modular Architecture ✅ Central Tool Registry ✅ Professional Logging ✅ Tool Execution Logs ✅ Docker Support ✅ Docker Compose ✅ Environment Configuration ✅ Easy Tool Registration ✅ Production Ready Structure ✅ Extensible Design ✅
Most MCP examples available online are intentionally minimal.
This project goes beyond the basics by demonstrating:
- Clean architecture - Separation of concerns - Modular tool development - Production-grade logging - Dockerized deployment - Reusable project structure - Scalable code organization
From the project README.
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