ros-mcp-server

Ochiq manbalardan

Claude va GPT kabi AI modellarini MCP va ROS yordamida robotlarga ulang.

Mashina tarjimasi · Asl matnni koʻrsatish

Connect AI models like Claude & GPT with robots using MCP and ROS.

MCP serverKategoriya: MCP serverlar · Git va dasturlash · SDK va freymvorklarOpen sourcemaʼlumot tekshirilgan: 15-okt, 2026

Sharh

  • mcp
  • mcp-server
  • modelcontextprotocol
  • ros
  • ros-mcp-server
  • ros2
  • ros2-mcp-server

Oʻrnatish

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Moslik

«Nomaʼlum» dalil topilmaganini bildiradi, mahsulot mos emasligini emas.
PlatformaHolatArxitekturaDalilIshonchlilik
Claude (web & desktop)Nomaʼlum———
Claude CodeNomaʼlum———
CursorNomaʼlum———
VS CodeNomaʼlum———
WindsurfNomaʼlum———
ChatGPTNomaʼlum———
PythonMos—paket manifesti: pyproject.toml name0.60

Relizlar

tekshirilgan: 29-okt, 2026
v3.1.2Oxirgi23-sen, 2026Rasmiy manba ↗

3.1.2 versiyasi fayllari

Relizga fayllar biriktirilmagan.

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algoritm quality-v1.0 · baholangan 15-okt, 2026
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Ishonchlilik 1.00
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Baho tarkibi

Qoʻllab-quvvatlash · 2020
last activity 0 days ago
Hujjatlar · 1515
README 4862 chars, description present
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install instructions: no; releases: yes
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4/4 of description, homepage, license, topics
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10 release(s), latest 22 days ago
Kategoriya aniqligi · 1010
classifier confidence 0.97
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Litsenziya aniqligi · 55
SPDX Apache-2.0
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issues enabled, 215 forks

Litsenziya

Apache-2.0
Litsenziya maʼlumrepozitoriy xostingi maʼlumotlariga koʻra

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Manbalar

github.com/robotmcp/ros-mcp-serverAsosiy★ 1 494 yulduzfaollik: 15-okt, 2026Asosiy repozitoriy · Ishonchlilik 1.00

Sharhlar

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Muqobillar

README

robotmcp/ros-mcp-server dan · litsenziya Apache-2.0 · yuklangan 29-okt, 2026

ROS MCP Server 🧠⇄🤖

[Static Badge] [Static Badge] [Static Badge] [Python] [pip] [Dev Container] [GitHub Repo stars] [GitHub last commit]

ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) to robots, enabling bidirectional communication with no changes to existing robot source code.

Why ROS-MCP?

  • No robot source code changes → just add the rosbridge node to your existing ROS setup.
  • True two-way communication → LLMs can both control robots and observe everything happening on the Robot.
  • Full context → publish & subscribe to topics, call services & actions, set parameters, read sensor data, and monitor robot state in real time.
  • Deep ROS understanding → guides the LLM to discover available topics, services, actions, and their types (including custom ones) — enabling it to use them with the right syntax without manual configuration.
  • Works with any MCP client → built on the open MCP standard, supporting Claude Code, Codex CLI, Gemini CLI, Claude Desktop, ChatGPT, Cursor, and more.
  • Works across ROS versions → compatible across ROS 2 (Jazzy, Humble, and others) and ROS 1 distros.

🎥 Examples in Action


🏭 Example - AI Agent diagnosis of Industrial Robot End Effector (Video)

  • The MCP server connects Claude to a production industrial robot, with only the technician manuals as reference.
  • Claude discovers the robot's custom topic and service types and their syntax on its own.
  • From a single prompt to test the gripper, it reads the manuals, runs its own tests, finds an anomaly, and reports the root cause.

🤖 Example - Controlling "Wilson" with natural language (video)
From a single prompt — "Grab a Coke from the fridge & go to the living room." — Google Gemini uses the MCP server to navigate and manipulate autonomously. Built on ROS 2 with Nav2 (SLAM) for mapping and navigation, and MoveIt to command the manipulator.


🐕 Example - Controlling Unitree Go2 in NVIDIA Isaac Sim (video)
The MCP server connects Claude to a simulated Unitree Go2 quadruped in NVIDIA Isaac Sim, interpreting natural language commands to navigate and control the robot.


🛠 Getting Started

Follow the installation guide to get started.

ROS-MCP works with Claude Code, Codex CLI, Gemini CLI, Claude Desktop, ChatGPT, Cursor, or any MCP-compatible client.


📚 More Examples & Tutorials

Browse our examples to see the server in action.
We welcome community PRs with new examples and integrations!


🤝 Contributing

We love contributions of all kinds:

  • Bug fixes and documentation updates
  • New features (e.g., Action support, permissions)
  • Additional examples and tutorials

Check out the contributing guidelines and see issues tagged good first issue to get started.


📜 License

This project is licensed under the Apache License 2.0.

Repozitoriyni ochish ↗