"ROS" matching MCP servers:

A Model Context Protocol (MCP) server for ROS 2 that enables GitHub Copilot and other AI agents to interact with ROS 2 systems. This server provides tools for monitoring, debugging, and managing ROS 2 nodes, topics, services, and TF2 frames.

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.

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

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.

Enables execution of ROS 2 CLI commands through the Model Context Protocol, supporting configurable timeouts, working directories, and secure command whitelisting.

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.

ROS2 MCP server that bridges AI agents (Claude Code, OpenClaw, Cursor) to ROS2, allowing them to read topics, call services, control robots, and wrap telemetry into verifiable hash-chained proof bundles.

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

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.

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