
Yahboom Mcp
io.github.sandraschi由 GitHub 账号 sandraschi 发布v2.5.0b1更新于 Oct 27, 2026
SOTA 2026 Yahboom Raspbot v2 ROS 2 MCP Server
概览
让 AI 助手通过 ROS 2 控制 Yahboom Raspbot v2(Boomy)机器人小车的 MCP 服务器,可执行任务、读取遥测与诊断。
- 可以做什么
- 控制机器人:通过 MCP 工具和通用工具操作驱动麦轮底盘、灯带、OLED 等外设。
- 执行智能体任务:把自然语言目标转成计划并在机器人上执行,含视觉检测与超声波避障。
- 检查运行栈:浏览 ROS 话题与节点、查看栈健康状态、读取日志并进行基于 SSH 的诊断。
- 配合网页仪表盘进行人工遥测观察与外设控制,与机器接口并存。
- 适用场景
- 适合已拥有 Yahboom Raspbot v2、希望让 AI 智能体驾驶机器人、执行规划任务或从桌面 MCP 客户端检查其 ROS 2 运行栈与健康状态的用户。
- 运行要求
- 以 stdio 方式本地运行;README 给出通过 uvx 从 Git 仓库安装、Claude Desktop 的 MCPB 包以及 Windows 安装程序。需要能访问机器人网络,通过 YAHBOOM_IP 环境变量配置,并具备可用的 ROS 2 / rosbridge 或 ESP32 连接。可选的 LLM 规划使用 Ollama、LM Studio 或 Gemini。
安装
在 SourceWeft 中
- 打开 控制台中的 Yahboom Mcp,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
Yahboom Raspbot v2 (Boomy) — MCP Server, Webapp & Documentation
[Just] [Ruff] [Python] [Biome] [FastMCP]
📖 Installation Guide — quick start, manual setup, and troubleshooting
[CI] [FastMCP 3.4] [Python 3.12+] [ROS 2 Humble] [Ruff] [Biome] [License] [Stars] [Last commit] [Ollama] [LM Studio] [Topics]
Download for Windows:
yahboom-mcp-2.5.0-setup.exe— installer with webapp + embedded backend, one shortcut. The installer is unsigned: SmartScreen will warn — click More info > Run anyway. Claude Desktop users can instead install the MCP bundle (one-liner below).
Quick Start
Claude Desktop only (MCPB bundle):
Every other client (Cursor, Windsurf, OpenCode, Claude Code) — stdio via uvx:
Developers from source:
This opens an interactive dashboard showing all available commands. Run just bootstrap to install dependencies, then just serve or just dev to start.
Manual Setup
If you don't have just installed:
Overview
Boomy is a Yahboom Raspbot v2 (Mecanum Version) robot car. Weighing in at approximately 1.0 kg and costing roughly $300 (fully loaded with a Raspberry Pi 5 16GB), it provides a unified platform for testing sensor integration, ROS 2 orchestration, and agentic (AI-driven) robotics. It's also great fun for kids of all ages.
The Manufacturer: Yahboom
Yahboom is a prominent player in the Chinese robotics and STEM education industry. They offer a diverse range of hardware platforms:
- Market Range: From entry-level $50 DIY kits to advanced $2,000+ STEM robots with precision mechanical arms.
- Industry Position: They specialize in accessible hardware for education and prototyping, positioned below enterprise-grade platforms such as Unitree or Noetix.
- Developer Ecosystem: Yahboom maintains a strong commitment to a FOSS (Free and Open Source Software) stack and provides active GitHub support for developers.
🏗️ Hardware Architecture
Boomy utilizes a "Double-Stack" controller model to bridge real-time physical reliability with high-level cognitive tasks:
- Rosmaster (ESP32 / Micro-ROS): Small-form-factor hardware controller for low-latency motor control, ultrasonic pinging, and line-sensor processing.
- Raspberry Pi 5 (Optional / Gateway): The main brain for standalone operation.
🚀 The "Zero-Host" Swarm Config
For scaled deployments, Boomy can operate in a Pi-less Swarm mode:
- Setup: Remove the Raspberry Pi; replace with a WiFi-to-Ethernet/UART bridge ($15).
- Control: Centralized orchestration via a remote Mothership (PC with RTX 4090).
- Scaling: Deploy 3+ units for the price of a single Pi-hosted robot.
🕹️ Interface Separation
This project clearly distinguishes between human-operable controls and machine-optimized interfaces:
- Human Interface: A browser-based Web Dashboard (React/Vite) designed for manual telemetry observation, peripheral control (lights, OLED), and human-robot interaction.
- Machine Interface: A standards-compliant MCP Server (Model Context Protocol) designed for AI agents and MCP clients to programmatic control Boomy as a tool within a larger fleet.
Fleet Crossconnects (Companions)
yahboom-mcp works completely standalone. You can optionally connect it with companion servers in the sandraschi fleet to unlock extended features:
Self-Contained Companions: Fleet companions operate independently. Installing companions does not trigger transitive dependency chains.
📂 Documentation Pillars
Webapp status surfaces
- Dashboard (
/dashboard) — First page: basic robot link (gateway, target IP, ROS · SSH · video) and operator hints when the Raspbot is off or Goliath has no AP/Ethernet path. - Diagnostic Hub (
/diagnostics) — Detail: ROS topic explorer, node list, resync / hard reset, SSH shell, stack health table (samestackpayload as the dashboard when available). - Server logs (
/logs) — Live yahboom-mcp log stream (SSE) on Goliath.
Historical status logs and legacy research are preserved in the docs/archive/ directory.
Stack
🛡️ Industrial Quality Stack
This project adheres to SOTA 2026 industrial standards for high-fidelity agentic orchestration:
- Python (Core): Ruff for linting and formatting. Zero-tolerance for
printstatements in core handlers (T201). - Webapp (UI): Biome for sub-millisecond linting.
- MCP: FastMCP 3.4 with Unified Gateway, portmanteau tools, skills, and agentic sampling.
- LLM Providers: Auto-discovery of Ollama (
:11434) and LM Studio (:1234). GPU metrics via nvidia-smi. - Automation: Justfile recipes for all fleet operations (
just lint,just fix,just dev).
来源:README.md,提交 58378e3
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0版本历史
1- v2.5.0b1最新Sep 16, 2026
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