xiaoye-hua
MCP Serverxiaoye-huapublic

mcp_server_client_example

这个GitHub仓库托管了一个基于Python的MCP Server客户端-服务器天气服务演示，包含AI集成和教育示例。

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About This Server

这个GitHub仓库托管了一个基于Python的MCP Server客户端-服务器天气服务演示，包含AI集成和教育示例。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

MCP Client & Server Example

Prerequisites

  • Python 3.12 or higher
  • uv (Python package installer and environment manager)
  • Environment variables set up in .env file (for Anthropic API key)

Installation

  1. Clone the repository

  2. Install uv if you haven't already:

curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Create and activate a new environment:
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
  1. Install dependencies using uv:
uv pip install -e .
  1. Configure .env by copying .env.example to .env and filling in your Anthropic API key:

Project Structure

  • Simple client and server
    • weather_server.py - MCP server implementation with weather service endpoints
  • Client example and Server example
    • weather_example.py - Example implementation using the National Weather Service API
    • client_example.py - Interactive client with Claude AI integration

Quick Start

1

Clone the repository

git clone https://github.com/xiaoye-hua/mcp_server_client_example
2

Install dependencies

cd mcp_server_client_example
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerxiaoye-hua
Repomcp_server_client_example
LanguagePython
License-
Last fetched8/10/2025

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