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为大语言模型提供机器人控制能力的MCP服务器

Project description

robot-mcp-server

为大语言模型提供机器人控制能力的MCP服务器

Python Version License

功能特性

  • ✅ 支持宇树机器人运动控制
  • ✅ 支持大疆无人机起飞/降落控制
  • ✅ 基于Model Context Protocol (MCP) 的标准接口
  • 📡 实时状态监控
  • 🛑 紧急停止机制
  • 📊 完善的日志记录

安装指南

前置要求

  • Python 3.10+
  • 宇树机器人SDK2 (自动安装)
  • 大疆Tello无人机SDK (自动安装)
# 创建并激活虚拟环境
python -m venv .venv
.venv\Scripts\activate

# 安装依赖
pip install git+https://github.com/unitreerobotics/unitree_sdk2_python.git
pip install djitellopy

快速开始

from modelcontextprotocol import Client

# 连接MCP服务
client = Client.connect_stdio()

# 控制宇树机器人
client.call_tool("unitree_connect", {})
client.call_tool("unitree_move", {"velocity": 1.5})

# 控制大疆无人机
client.call_tool("dji_connect", {})
client.call_tool("dji_takeoff", {"height": 2.0})

API文档

宇树机器人工具

  • unitree_connect: 建立机器人连接
  • unitree_move(velocity: float, duration: float): 控制移动
  • unitree_stop(): 紧急停止

大疆无人机工具

  • dji_connect: 建立无人机连接
  • dji_takeoff(height: float): 起飞到指定高度
  • dji_land(): 安全降落

开发指南

项目结构:

├── src/
│   ├── main.py          # 主服务入口
│   ├── unitree_adapter.py # 宇树机器人适配器
│   └── dji_adapter.py   # 大疆无人机适配器
├── examples/            # 使用示例
├── requirements.txt     # 依赖列表
└── README.md            # 项目文档

贡献

欢迎提交Issue和PR,请遵循现有代码风格并添加适当测试。

授权协议

MIT License

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