Server Deployment Demo

About

This project offers a foundational demonstration for building and deploying a server that complies with the Model-Context-Protocol (MCP). MCP facilitates secure communication and local tool execution for large language models and other AI agents. This specific implementation showcases a basic FastMCP server in Python, exposing a simple 'add' tool designed to take two integers and return their sum, making it a perfect starting point for integrating AI models like Claude with local development environments.

Key Features

• Simple FastMCP server implementation
• Basic 'add(x: int, y: int) -> int' mathematical tool
• Packaged as a Python project using pyproject.toml and setuptools
• Ready for installation and deployment
• Command-line entry point for running the server
• 0 GitHub stars

Use Cases

• Learning and demonstrating Model-Context-Protocol (MCP) server development
• Integrating an MCP server with AI models like Claude for local tool execution
• Developing a foundational tool to extend AI agent capabilities with custom functions