MCP Project (Model Context Protocol)

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

@zhanzq

リポジトリ

MCP Project (Model Context Protocol) について

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

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

zhanzq

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.