MCP Server Boilerplate (Python) 🚀
I'm excited to share MCP Server Boilerplate, a production-ready, extensible template for building Model Context Protocol (MCP) servers in Python. This project is designed to help you rapidly create, extend, and deploy MCP servers that expose tools, prompts, and resources to LLMs and agentic clients.
✨ Features
- Multi-Transport Support: STDIO, SSE, HTTP, and more
- Modular Tools/Prompts/Resources: Add new features by creating a class and registering it
- Type-Safe Input Validation: Uses Pydantic for schemas
- Security Best Practices: Directory sandboxing, input validation, error handling
- Extensible & Maintainable: Clean separation of concerns, base classes, and registries
- Production-Ready: Logging, environment management, Docker support
- Comprehensive Documentation: For users and contributors
🛠️ Getting Started
- Install dependencies:
- pip install -r requirements.txt
- Configure environment: Copy .env.example to .env and fill in required values.
- Run the server: python main.py --transport=stdio
Why MCP?
Model Context Protocol (MCP) is a new standard for exposing tools, prompts, and resources to LLMs and agentic clients. This boilerplate is the recommended starting point for all new Python MCP server projects.
