"ROS" matching MCP servers:

Enables controlling robots in ROS environments through natural language, supporting topics, services, actions, and GUI tools.

Enables management of multiple MikroTik RouterOS devices over SSH via two tools: device listing and command execution.

Facilitates robotic movement control by providing functions that enable precise manipulation of linear and angular velocities through natural language commands, compatible with both ROS and ROS2.

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.

Enables LLM coding agents to inspect, control, and verify remote ROS2 robotics applications without a local ROS2 installation, supporting topics, services, actions, parameters, TF transforms, and automated test suites.

A Model Context Protocol server for ROS 2, enabling AI assistants to introspect and interact with ROS 2 systems.

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.

Provides static analysis of ROS 2 workspaces, enabling inspection of packages, dependencies, interfaces, launch files, and robot descriptions without running ROS 2.

A read-only MCP server that enables LLMs to inspect and analyze ROS 2 systems through natural language, covering nodes, topics, parameters, actions, rates, QoS, and environment health. It can run without ROS 2 installed and safely surfaces runtime system state for diagnosis.

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

A Python-based server that enables AI assistants to control robots by integrating the Model Context Protocol (MCP) with ROS 2, allowing for natural language commands that translate into robot movement via the /cmd\_vel topic.

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

Enables AI to create and publish interactive web apps, games, and 3D scenes using Rosh, a plain-English programming language. It supports compilation to HTML5 canvas, Phaser, or Three.js.

Enables AI agents to analyze ROS2 log files across multiple nodes by merging them into a unified timeline and providing smart query tools, without requiring ROS2 installation.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

An MCP server for ROS 2 development that enables controlled creation of workspaces, packages, nodes, launch files, and tests within a sandboxed directory, with secure filesystem boundaries.

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

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.

A read-only MCP server for bounded semantic inspection of ROS 2 perception systems, enabling discovery and metadata extraction from sensors such as cameras, depth sensors, and LiDARs without device configuration or actuation.

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.