
Yahboom Mcp
io.github.sandraschi由 GitHub 帳號 sandraschi 發布v2.5.0b1更新於 Oct 27, 2026
SOTA 2026 Yahboom Raspbot v2 ROS 2 MCP Server
概覽
讓 AI 助理透過 ROS 2 控制 Yahboom Raspbot v2(Boomy)機器人小車的 MCP 伺服器,可執行任務、讀取遙測與診斷。
- 可以做什麼
- 控制機器人:透過 MCP 工具與通用工具操作驅動麥輪底盤、燈條、OLED 等周邊裝置。
- 執行代理任務:把自然語言目標轉成計畫並在機器人上執行,含視覺偵測與超音波避障。
- 檢查執行堆疊:瀏覽 ROS 主題與節點、查看堆疊健康狀態、讀取日誌並進行以 SSH 為基礎的診斷。
- 搭配網頁儀表板進行人工遙測觀察與周邊控制,與機器介面並存。
- 適用情境
- 適合已擁有 Yahboom Raspbot v2、希望讓 AI 代理駕駛機器人、執行規劃任務,或從桌面 MCP 用戶端檢查其 ROS 2 執行堆疊與健康狀態的使用者。
- 執行需求
- 以 stdio 方式在本機執行;README 提供透過 uvx 從 Git 儲存庫安裝、Claude Desktop 的 MCPB 套件,以及 Windows 安裝程式。需要能連上機器人網路,以 YAHBOOM_IP 環境變數設定,並具備可用的 ROS 2 / rosbridge 或 ESP32 連線。選用的 LLM 規劃使用 Ollama、LM Studio 或 Gemini。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Yahboom Mcp,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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).
來源:README.md,提交 58378e3
工具
0版本歷史
1- v2.5.0b1最新Sep 16, 2026
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