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Mbotmcp MCP Server

@deemkeen

代码仓库

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stdio

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deemkeen

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deemkeen

关于 Mbotmcp MCP Server

control your mbot2 with a power combo: mqtt+mcp+llm

#mbotmcp#robot-control#ai-integration

Mbotmcp MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mbotmcp": {
      "command": "path-to-java-executable",
      "args": [
        "-jar",
        "/path-to-repo/mbotmcp/target/mbotmcp-0.0.1-SNAPSHOT.jar"
      ],
      "env": {
        "MQTT_USERNAME": "<mqtt server username>",
        "MQTT_PASSWORD": "<mqtt server password>",
        "MQTT_SERVER_URI": "mqtt server url"
      }
    }
  }
}

Mbotmcp MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MBotMcp?

MBotMcp is a Spring Boot application that uses Spring AI and the Model Context Protocol (MCP) to let AI models control a physical mBot2 robot through natural language commands. It acts as an MCP server, exposing robot control commands as AI-callable tools and relaying them via an MQTT broker to the robot.

How to use MBotMcp?

First, set up an MQTT broker (e.g., with the included Docker Compose file), configure the required environment variables (MQTT_USERNAME, MQTT_PASSWORD, MQTT_SERVER_URI), and upload the mbot-mqtt.py Python script to your mBot2 after editing its WiFi/MQTT settings. Then build the Spring Boot application with mvn clean package and run the test client with mvn test -Dtest=ClientStdioTest. Finally, connect an LLM client that supports MCP (such as Goose) to the server to send natural language commands to the robot.

Key features of MBotMcp

  • Exposes seven robot commands as MCP tools
  • Uses MQTT broker for reliable message passing
  • Supports natural language control via any MCP-compatible AI client
  • Includes a pre-configured Docker Compose for the MQTT broker
  • Provides a Python script for the mBot2 with configurable WiFi and MQTT
  • Integrates easily with Spring AI’s @Tool annotation
  • Tested with the “beep” command and blue LED lights

Use cases of MBotMcp

  • Allowing an AI agent to autonomously explore a room by sending “explore”
  • Teaching students how to combine robotics with AI and the MCP protocol
  • Enabling voice or chat-based control of a physical robot in a classroom
  • Demonstrating real‑time robot control from a Spring Boot application

常见问题

1

What are the system requirements?

Java 21, Maven, an mBot2 robot with mBlock IDE, an MQTT broker (can be run locally with Docker), and basic Java knowledge.

2

How do I configure the MQTT broker and robot?

Set the environment variables `MQTT_USERNAME`, `MQTT_PASSWORD`, and `MQTT_SERVER_URI` in the Spring Boot app. Edit the uploaded `mbot-mqtt.py` script to include your WiFi credentials and MQTT broker details.

3

Which AI clients can I use with MBotMcp?

Any LLM client that supports the Model Context Protocol (MCP). The README specifically recommends using Goose.

4

Where do the robot commands and data travel?

Commands flow from the AI client through the MCP server to the MQTT broker, then to the mBot2 robot. No external cloud storage is used; all data stays on the local MQTT broker.

5

What happens if the robot goes rogue?

The author provides a humorous disclaimer: “If your robot starts planning world domination, the author accepts no responsibility. Just unplug it and run! 😂” The robot can be stopped with the `mbotStop()` command or by powering it off.

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