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URL: https://glama.ai/mcp/servers/integrations/ros

⇱ ROS | Glama

  • Why this server?

    Provides ROS 2 bridge integration for robotic systems, enabling secure communication with ROS topics and nodes through the SINT Protocol's governance layer.

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    Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical
    Last updated
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    Apache 2.0

  • Why this server?

    Integrates with ROS 1.4 (Melodic) via rosbridge_suite for physical robot control, including Moorebot Scout and Unitree robots

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    Provides unified control for both physical robots (ROS-based like Moorebot Scout, Unitree) and virtual robots in Unity3D/VRChat, enabling multi-robot coordination, environment generation, and automated 3D model creation.
    Last updated
    8
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    MIT

  • Why this server?

    Provides ROS 2 integration for controlling the Bumi humanoid robot, including mission execution, vision detection, and sensor data via rosbridge.

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

  • Why this server?

    Enables robot movement control by sending linear and angular velocity commands to ROS-enabled robots through the rosbridge WebSocket interface

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    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.
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  • Why this server?

    Provides tools for analyzing ROS2 log files, including querying, summarizing, comparing runs, detecting anomalies, and correlating logs with ROS2 bag topics.

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    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.
    Last updated
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    MIT

  • Why this server?

    Provides integration with ROS2 (Robot Operating System) through a cloud bridge for controlling physical robots (UR5e, Panda, Spot), including MoveIt2 motion planning, collision avoidance, and real-time robot status monitoring.

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    Control real robots and IoT devices through AI agents. Self-register with wallet authentication, pay with ETH for tier upgrades, and execute Vision-Language-Action commands. Features robot control, sensor monitoring, multi-agent coordination, and autonomous payments.
    Last updated
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  • Why this server?

    Enables control of a Unitree Go2 robot by translating natural language commands into ROS2 instructions, allowing for robot movement, navigation, and interaction with the environment

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    A server built on the Model Context Protocol that enables controlling the Unitree Go2 robot using natural language commands, which are translated into ROS2 instructions for the robot to perform corresponding actions.
    Last updated
    12
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    Apache 2.0

  • Why this server?

    Provides tools for interacting with ROS2 (Robot Operating System) nodes, enabling listing of topics and services, subscribing to topics, publishing messages, calling services, and retrieving data from WiseVision Data Black Box.

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    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
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    Mozilla Public 2.0

  • Why this server?

    Enables control of Gazebo robotic simulations through ROS2, providing tools for spawning and managing robot models (TurtleBot3), accessing sensor data (camera, LiDAR, IMU, GPS), manipulating simulation environments, and controlling physics simulation state.

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    Enables AI assistants to control Gazebo robot simulations through ROS2, including spawning robots (TurtleBot3), manipulating environments, accessing sensor data (camera, LiDAR, IMU), and managing simulation state.
    Last updated
    16
    MIT