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ai-toolbox-mcp

AI Toolbox MCP Server (ai-toolbox-mcp)

将万和AI工具箱(Wanhe AI Tools)的 17 个 AI 工具 + 5 个系统接口(22 路由)封装为标准 MCP (Model Context Protocol) Server,Claude Desktop / Cursor 等 AI 代理可直接调用本地 AI 能力。

✨ 特性

  • 本地推理:基于本地 Ollama(qwen3 系列),无云端调用。

  • 数据不出本机:所有推理在本地完成,隐私安全

  • 17 个 AI 工具:摘要/翻译/审查/分类/RAG/对比/批处理/情感/FAQ/差异/会议纪要/数据提取/改写/对话等

  • 即插即用:配置一次即可被 Claude Desktop / Cursor 发现调用

Related MCP server: open-skills

📦 安装

pip install mcp fastmcp httpx requests
python mcp_server.py

若未安装 mcp 库,脚本自动降级为内置 stdio JSON-RPC 实现(功能相同)。

⚙️ Claude Desktop 配置

编辑 claude_desktop_config.json:

{
  "mcpServers": {
    "ai-toolbox": {
      "command": "python",
      "args": ["/path/to/mcp_server.py"]
    }
  }
}

重启 Claude Desktop 后即可在工具列表中看到 ai-toolbox 的 17 个 AI 工具。

🛠 支持的 22 个接口

AI 工具(17):summarize(摘要)/ translate(翻译)/ review(审查)/ classify(分类)/ rag_query(知识库问答)/ rag_upload(知识库上传)/ compare(对比)/ batch(批处理)/ keywords(关键词)/ batch_summarize(批量摘要)/ sentiment(情感分析)/ faq_generate(FAQ生成)/ diff(差异)/ meeting_minutes(会议纪要)/ data_extract(数据提取)/ paraphrase(改写)/ chat(对话)

系统接口(5):health / pricing / stats / orders / root

💰 定价

📄 文件

  • mcp_server.py — MCP Server 主程序

  • mcp_config.json — 配置文件(toolbox 地址/端口/安装指南)

  • README.md — 本说明

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