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byfrifri
0Implements a Model Context Protocol (MCP) server, enabling AI assistants to securely interact with external tools and data sources.
About
This project provides a practical example of a Model Context Protocol (MCP) server written in Python, allowing AI assistants like Claude to securely interact with external functionalities. It showcases how to expose custom tools—such as adding numbers, greeting users, or reversing strings—that AI clients can discover and call. The server serves as an excellent starting point for developers looking to integrate specialized capabilities into their AI workflows and learn the fundamentals of the MCP standard.
Key Features
- Designed for easy integration with AI assistants like Claude Code
- Includes example tools: add_numbers, greet, reverse_string
- Uses uv for efficient Python environment and dependency management
- Supports adding new custom tools and advanced MCP features (resources, prompts)
- Simple Model Context Protocol (MCP) server implementation
- 0 GitHub stars
Use Cases
- Demonstrate basic MCP server development for AI assistant integration
- Serve as a template for building custom tools accessible to Claude Code
- Learn how to expose specific functionalities via the Model Context Protocol
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