Robot Mcp Server

Overview

Robot MCP Server is a Model Context Protocol (MCP) service that brings real‑time robotic control into AI‑driven applications. By exposing a set of standardized tools over MCP, it allows large language models to issue high‑level commands—such as “move forward” or “take off”—and receive immediate feedback from physical devices. The server bridges the gap between abstract conversational intent and concrete actuator actions, enabling developers to prototype interactive robotics scenarios without writing low‑level SDK code.

The server ships with adapters for two popular platforms: Unitree robots and the DJI Tello drone. Each adapter translates MCP tool calls into SDK commands, handling connection management, safety checks, and state reporting. When a client invokes , the server forwards velocity and duration parameters to the Unitree SDK, while translates a height value into a Tello take‑off sequence. The service also implements an emergency stop and comprehensive logging, ensuring that accidental commands can be halted instantly and all interactions are auditable.

Key capabilities include:

• Real‑time status monitoring: Clients can query the current pose, battery level, or flight altitude via built‑in status tools.
• Safety mechanisms: An emergency stop tool () and automatic disconnection on error prevent damage to hardware.
• Standard MCP interface: Tools are registered with clear names (, ), making them discoverable by any MCP‑compatible client, such as Claude or other LLM assistants.
• Extensible architecture: The adapter pattern allows additional robots or drones to be added with minimal effort, simply by implementing a new adapter module.

Typical use cases span from educational robotics labs—where students can ask an AI assistant to “walk the robot around” and immediately see the movement—to research prototypes that need rapid iteration on navigation strategies. In industrial settings, an AI‑powered maintenance system could instruct a robot to inspect equipment and report anomalies back through the same conversational channel. Because the server abstracts away SDK intricacies, developers can focus on higher‑level logic and natural language interfaces rather than threading or hardware quirks.

By integrating seamlessly into existing AI workflows, Robot MCP Server empowers developers to create more interactive, responsive, and safer robotic applications. Its combination of real‑time control, safety features, and MCP compliance makes it a standout solution for anyone looking to fuse conversational AI with physical robotics.