AI开发工具集成框架

# MCP Server in Python

## Overview

**MCP (Model Context Protocol)** is a framework that allows you to integrate custom tools into AI-assisted development environments—such as Cursor AI. MCP servers expose functionality (like data retrieval or code analysis) so that an LLM-based IDE can call these tools on demand.

This project demonstrates an MCP server built in Python that provides two basic tools. One tool, **add**, accepts two numbers and returns their sum, while the other, **getApiKey**, retrieves the API key from the environment (via the `API_KEY` variable). Learn more about MCP in the [Model Context Protocol Introduction](https://modelcontextprotocol.io/introduction).

## Requirements

- **Python:** A modern version of Python (3.8 or higher is recommended).
- **Virtual Environment:** It is recommended to use a virtual environment for dependency management.

## Features

- **MCP Integration:** Exposes tool functionality to LLM-based IDEs.
- **Addition Tool:** Accepts two numeric parameters and returns their sum.
- **Env Var Retrieval:** Demonstrates how to load an example environment variable from the configuration file.
- **CLI Support:** Provides a command-line interface via `mcp[cli]` for easy local development and testing.
- **Standard I/O Transport:** Integrates with development environments using standard I/O for seamless communication.

## Installation

1. **Clone the Repository**

   ```bash
   git clone <repository_url>
   cd <repository_directory>
   ```

mcp dev mcp-server.py

{
  "mcpServers": {
    "MCP Server": {
      "command": "/path/to/mcp-server-python/.venv/bin/python3",
      "args": ["/path/to/mcp-server-python/mcp-server.py"],
      "env": {
        "API_KEY": "abc-1234567890"
      }
    }
  }
}

chmod +x ./scripts/update_config.sh
./scripts/update_config.sh

add 3 and 5

what is my API key?