"ROS" matching MCP servers:

Enables control of ROS/ROS2 robots through natural language commands by translating LLM instructions into ROS topics and services. Supports cross-platform WebSocket-based communication with existing robot systems without requiring code modifications.

Controls Autonomous Mobile Robots (AMRs) through natural language via MQTT and an LLM bridge, enabling navigation and system commands.

Enables large language models to interact with ROS robots seamlessly, allowing natural language control, real-time sensor monitoring, and autonomous task execution without modifying existing robot code.

Connects AI agents to ROS 2 robots via rosbridge, enabling observation, inspection, and control of robot topics, services, and actions through natural language.

This MCP server enables inspecting ROS 2 manipulators, computing kinematics, planning motion, and managing primitive MoveIt planning-scene objects via a typed API, with no physical execution support.

Enables natural language control and monitoring of ROS 2 robots through standardized MCP tools, with a deterministic safety layer and automatic capability discovery.

Roslyn-based MCP server providing semantic code intelligence for .NET codebases — type hierarchies, call sites, DI registrations, and reflection usage for Claude Code

MCP server for controlling the Noetix Bumi humanoid robot via ROS 2, with support for autonomous mission planning using LLMs and computer vision.

Connects AI agents like Claude to live ROS2 robots, enabling natural language interaction for diagnostics, parameter tuning, and control with safety sandboxing.

Enables durable, evidence-backed deliberation and Decision CI by running multi-stage model protocols with detached worker processes, persistent jobs, and SQLite-stored decisions, evidence, outcomes, and quality metrics.

rm_mcp bridges ROS Noetic and ROS 2 with Model Context Protocol, providing AI Agents with structured 'eyes' (state & system inspection) and 'hands' (controller actuation, signal injection, rosbag recording, and automated PID response analysis) for robotics debugging.

Enables AI agents and MCP clients to programmatically control a ROS 2-based robot car, execute autonomous missions, inspect telemetry, manage peripherals such as lights and OLED, and integrate with fleets.

Enables LLM agents to safely inspect, plan, preview, and execute motions on ROS 2 manipulators, with server-enforced safety envelopes covering joint limits, workspace constraints, force/torque thresholds, rate limits, e-stop, human approval, and audit logging.

This MCP server gives LLM agents eyes - the ability to see and understand their physical environment through an Intel RealSense depth camera.

Enables AI tools to interact with ROS2 robotics systems through natural language commands. Supports topic publishing/subscribing, service calls, message analysis, and auto-discovery of ROS2 interfaces for debugging and controlling robots.

Enables LLMs to interact with ROS1 Noetic robotic systems by providing tools for topic management, service calls, and parameter configuration. It also supports node inspection, coordinate transform queries, and message introspection via the Model Context Protocol.

Public implementation of MCP for ROS 2 enabling to interact with system visible various robots, capable of: List available topics List available services Call service Subscribe topic to get messages Publish message on topic and more

MCP server for controlling Universal Robots arms and Robotiq grippers via RTDE protocol, enabling motion, force, I/O, and gripper operations.

Enables AI agents to inspect and control a robotic VLA system via MCP, offering read-only tools for ROS topics, processes, tmux, and logs, as well as write tools for publishing prompts, issuing tmux commands, restarting services, and running shell commands inside containers.

MCP server for safe OSRacer vehicle control, exposing ROS 2 and MCU serial surfaces through gated tools with preflight, arming, and emergency stop.