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MCP Project (MCP)

@zhanzq

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

zhanzq

MCP Project 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

MCP Project の設定

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"
      ]
    }
  }
}

MCP Project のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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.

よくある質問

1

Which large language models are supported?

Claude and Qwen are explicitly supported; the system is designed to accommodate additional models.

2

What transport methods does MCP Project support?

It supports both SSE (Server‑Sent Events) and STDIO (standard input/output).

3

How do I configure additional tools?

Edit the `tools.json` file to define new tools; the system currently includes weather query and text‑to‑image (KeLing version).

4

What are the runtime requirements and dependencies?

Python 3.7+ is required. Node.js is optional (used for JavaScript servers). API keys (e.g., `ANTHROPIC_API_KEY`) must be set in a `.env` file.

5

What is the default port for SSE mode?

The SSE server defaults to port 8000.

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