MCP Project (Model Context Protocol)

Name: MCP Project (Model Context Protocol)
Author: zhanzq

@zhanzq

代码仓库

关于 MCP Project (Model Context Protocol)

实现mcp客户端及服务器，用于接入私有和公有的servers，创建多功能的agent

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

zhanzq

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_project": {
      "command": "python",
      "args": [
        "client_claud.py"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Project (Model Context Protocol)?

MCP Project is an intelligent assistant system based on the Model Control Protocol, supporting multiple large language models and tool invocation functions. It integrates with Claude, Qwen, and other LLMs, and is intended for developers building multi-model assistant applications.

How to use MCP Project (Model Context Protocol)?

Clone the repository, install dependencies with pip install -r requirements.txt, and create a .env file with API keys (e.g., ANTHROPIC_API_KEY). Start a specific client by running python client_claud.py (for Claude) or python client_qwen.py (for Qwen), or use client_multi_servers.py for multiple servers. Tools are configured in tools.json.

Key features of MCP Project (Model Context Protocol)

Integrates multiple large language models (Claude, Qwen, etc.)
Flexible tool invocation system
Supports SSE and STDIO transport methods
Retains session history for context understanding
Built-in tools: weather query and text-to-image
Modular client‑server architecture

Use cases of MCP Project (Model Context Protocol)

Build an assistant that switches between Claude and Qwen based on task.
Query real-time weather data through a command‑line client.
Generate images from text descriptions using the built‑in text‑to‑image tool.
Create a multi‑server environment where different LLMs handle different requests.