MCP Server Ros 2

Name: MCP Server Ros 2
Author: wise-vision

by wise-visionversion 1.0.0i★ –iRuns on your computer

Registry nameio.github.wise-vision/mcp_server_ros_2

Install

Overview

Description from the maker (original English)

View ROS 2 nodes and topics, and call services and actions via MCP

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: MCP_CUSTOM_PROMPTS, MCP_PROMPTS_LOCAL, MCP_PROMPTS_PATH, MCP_PROMPTS_MODULE

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ros-2": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "MCP_CUSTOM_PROMPTS",
        "-e",
        "MCP_PROMPTS_LOCAL",
        "-e",
        "MCP_PROMPTS_PATH",
        "-e",
        "MCP_PROMPTS_MODULE",
        "docker.io/mcp/ros2:latest"
      ],
      "env": {
        "MCP_CUSTOM_PROMPTS": "your-value",
        "MCP_PROMPTS_LOCAL": "your-value",
        "MCP_PROMPTS_PATH": "your-value",
        "MCP_PROMPTS_MODULE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ros-2 --env MCP_CUSTOM_PROMPTS=your-value --env MCP_PROMPTS_LOCAL=your-value --env MCP_PROMPTS_PATH=your-value --env MCP_PROMPTS_MODULE=your-value -- docker run -i --rm -e MCP_CUSTOM_PROMPTS -e MCP_PROMPTS_LOCAL -e MCP_PROMPTS_PATH -e MCP_PROMPTS_MODULE docker.io/mcp/ros2:latest

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ros-2": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "MCP_CUSTOM_PROMPTS",
        "-e",
        "MCP_PROMPTS_LOCAL",
        "-e",
        "MCP_PROMPTS_PATH",
        "-e",
        "MCP_PROMPTS_MODULE",
        "docker.io/mcp/ros2:latest"
      ],
      "env": {
        "MCP_CUSTOM_PROMPTS": "your-value",
        "MCP_PROMPTS_LOCAL": "your-value",
        "MCP_PROMPTS_PATH": "your-value",
        "MCP_PROMPTS_MODULE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ros-2": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "MCP_CUSTOM_PROMPTS",
        "-e",
        "MCP_PROMPTS_LOCAL",
        "-e",
        "MCP_PROMPTS_PATH",
        "-e",
        "MCP_PROMPTS_MODULE",
        "docker.io/mcp/ros2:latest"
      ],
      "env": {
        "MCP_CUSTOM_PROMPTS": "your-value",
        "MCP_PROMPTS_LOCAL": "your-value",
        "MCP_PROMPTS_PATH": "your-value",
        "MCP_PROMPTS_MODULE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

MCP_CUSTOM_PROMPTS env
Enable custom prompts
MCP_PROMPTS_LOCAL env
Use local prompts
MCP_PROMPTS_PATH env
Path to custom prompts directory
MCP_PROMPTS_MODULE env
Name of the prompts module

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account wise-vision, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32712 servers in this category
Published to the registry more recently than 1% of the other 32712 servers in this category
Basic checks equal to or better than 100% of the other 32712 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Server Ros 2 safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 12 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Aiterm MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

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Aiterm MCP

by kitepon

Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.

Runs on your computerUpdated today

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ROS2 MCP

ROS2 MCP is an open-source (MPL-2.0) Model Context Protocol server that lets AI agents (Claude, Cursor, Codex and any other MCP client) list, subscribe to, publish on and call ROS 2 topics, services and actions on a live robot. It talks to ROS 2 directly through rclpy: no rosbridge, no changes to your robots. Transports: stdio (default), Streamable HTTP and SSE (deprecated by the MCP spec).

Every tool is free and open source. Commercial support is available if you want help putting it on a real machine.

⚡ Quickstart (30 seconds, Docker)

You need Docker and an MCP client. ROS 2 itself does not have to be installed: the image contains it.

# Claude Code (use :humble for a ROS 2 Humble system). Read-only: the agent can look, not act.

claude mcp add ros2 -- docker run -i --rm -e ROS2_MCP_READONLY=1 wisevision/ros2_mcp:jazzy

Any other MCP client: run docker run -i --rm -e ROS2_MCP_READONLY=1 wisevision/ros2_mcp:jazzy as its stdio command. Then ask: *"List the ROS 2 topics"* and *"Read three messages from /chatter"*.

No robot at hand? Start a demo publisher first:

docker run -d --name demo-robot ros:jazzy-ros-base bash -c \

'source /opt/ros/jazzy/setup.bash && ros2 topic pub -r 2 /chatter std_msgs/msg/String "{data: hello from the robot}"'

Prefer uv? On a machine with ROS 2 installed and sourced (the server needs rclpy; use the Python that matches your distro, e.g. 3.12 on Jazzy):

source /opt/ros/jazzy/setup.bash

uvx --python /usr/bin/python3 --from git+https://github.com/wise-vision/ros2_mcp mcp_ros_2_server

Remove -e ROS2_MCP_READONLY=1 (or the --read-only flag) only when you want the agent to be able to move things; see Security. Client-specific setup (VS Code Copilot, Claude Desktop, Warp, Codex CLI, custom messages): installation guide. Docs: wisevision.tech/docs.

mcp/ros2 in Docker's official MCP catalog (13,750 pulls at the time of writing) is built by Docker and lags our releases: it was last updated on 2026-02-04 and predates read-only mode. wisevision/ros2_mcp is built and pushed by this repository's CI and is the one the commands above use.

🧰 Tools

24 tools. ⚠ marks tools that can change robot state; read-only mode removes them. The complete, generated reference with input schemas is docs/generated/tools.md (a CI check keeps it in sync with the code).

Area	Tools
Discover	`ros2_topic_list`, `ros2_service_list`, `ros2_list_actions`, `ros2_interface_list`, `ros2_get_message_fields` (field names and types of a message type)
Topics	`ros2_topic_subscribe`, `ros2_subscribe_multiple_topics` (images come back as PNG), ⚠ `ros2_topic_publish`, ⚠ `ros2_publish_multiple_topics` (set frequency and duration)
Services	⚠ `ros2_service_call`
Actions	⚠ `ros2_send_action_goal` (optionally waits for the result), `ros2_action_request_result`, `ros2_action_subscribe_feedback`, `ros2_action_subscribe_status`, ⚠ `ros2_cancel_action_goal`
Perception	`ros2_get_map_as_image` (`nav_msgs/OccupancyGrid` to PNG), `ros2_get_pointcloud_as_bev` (`sensor_msgs/PointCloud2` to bird's-eye-view PNG)
History	`ros2_get_messages_stored_in_influx_data_base` (past messages from the WiseVision Data Black Box, an InfluxDB-based alternative to Rosbag2)
Viewer app	`ros2_viewer_app`, `ros2_viewer_config`, `ros2_stream_start`, `ros2_stream_next`, `ros2_stream_next_image`, `ros2_stream_stop` (interactive image / point cloud / plot viewer for MCP clients that support Apps; the stream tools also serve clients that cannot render it)

Also included: four built-in prompts, automatic QoS selection for topics, nested message fields, and custom message types (source your package before starting; see the installation guide).

🧭 Supported ROS 2 distributions

Distro	Status
Jazzy Jalisco (Ubuntu 24.04, Python 3.12)	Supported. Tests run in CI on `ros:jazzy-ros-base`; Docker image `wisevision/ros2_mcp:jazzy`.
Humble Hawksbill (Ubuntu 22.04, Python 3.10)	Supported. Tests run in CI on `ros:humble-ros-base`; Docker image `wisevision/ros2_mcp:humble`.
Iron, Kilted, Rolling	Not tested and not shipped. It may work from source; we make no promise. Open an issue if you need one.

ROS 1 is not supported (the server uses rclpy). Python 3.10 or newer.

🆚 How it compares

Other open-source ROS MCP servers exist. They make different trade-offs; pick by what you need. Facts below were read from each project's README, pyproject.toml and GitHub page on 2026-10-14.

	ROS2 MCP (this repo)	robotmcp/ros-mcp-server	LCAS/ros2_mcp
How it reaches ROS	`rclpy`, directly on the ROS 2 graph (runs where ROS 2 is sourced, or in the Docker image)	`rosbridge` WebSocket; the MCP server can run on a different machine from the robot	ROS 2 package built in your colcon workspace
ROS versions	ROS 2 Humble, Jazzy	ROS 1 and ROS 2	ROS 2 Humble, Iron, Jazzy (per its README)
Install	Docker image `wisevision/ros2_mcp`, or `uvx`/`uv` from git	`uvx ros-mcp` (on PyPI)	`git clone`, `rosdep`, `colcon build`; Docker Compose with an SSE endpoint
Transports	stdio, Streamable HTTP, SSE	stdio, `http`, `streamable-http` (`--transport`)	SSE endpoint documented
Read-only mode	Yes: mutating tools are not registered, and a test enforces the classification	No such switch found in its code; tools carry the MCP `readOnlyHint` annotation	Its README lists observation features only
Publish / services / actions	Yes, including goal, result, feedback, status and cancel	Yes (topics, services and actions tools)	Not listed in its README
Nodes and parameters	No dedicated tools yet	Yes (node and parameter tools)	Node listing
Images and maps	Image topics as PNG, occupancy-grid map, point-cloud bird's-eye view	Image tool	Image retrieval for VLM analysis
License	MPL-2.0	Apache-2.0	Apache-2.0
GitHub stars	90	1,493	9

When to pick another one: you need ROS 1, node or parameter tools, or you want the MCP server off the robot with only rosbridge exposed there: use robotmcp/ros-mcp-server. We do not claim to be better on every axis. What we offer: native rclpy access (no bridge process between the agent and DDS), a read-only mode that fails closed (a tool is registered in that mode only if it was explicitly reviewed as read-only, and a test fails when a new tool is unclassified), images, maps and point clouds returned as PNGs, the complete action lifecycle (goal, result, feedback, status, cancel), and commercial support if you need it. Something here is wrong or out of date? Open an issue and we will fix it.

🗺️ Roadmap (proposed, not committed)

What users ask for that is not in ROS2 MCP today. No dates; open an issue or a Discussion to vote or to pay for one.

Parameter tools: get / set / list node parameters.
TF tools: transform lookup and frame tree.
Authentication for Streamable HTTP (bearer token or a documented reverse-proxy recipe). The transport itself is in #55; until auth exists, keep it on loopback or a private network.
Node tools (list nodes, node info), Nav2-specific helpers, a PyPI package, ROS 1 (not planned).

🤖 For AI agents

If you are an agent (or building one) using this server:

Discover before you act. Call ros2_topic_list, ros2_service_list, ros2_list_actions and ros2_interface_list, then ros2_get_message_fields for the exact message type, before any publish, service call or action goal. Do not guess field names.
Prefer read-only. If ros2_topic_publish, ros2_service_call, ros2_send_action_goal are absent from list_tools, the operator started the server in read-only mode; do not try to work around it.
Mutating tools move real machines. Confirm intent with the human before calling a ⚠ tool, start with small values and a short duration, and keep ros2_cancel_action_goal in mind.
Right after container start the graph may be incomplete (DDS discovery). If a topic you expect is missing, retry once before concluding it does not exist; see DDS discovery warm-up.
Machine-readable references: docs/generated/tools.json (every tool and its input schema), server.json (MCP registry manifest), AGENTS.md (repo layout, how to build, test and add a tool), wisevision.tech/llms.txt.

🏢 Commercial support & integration

ROS2 MCP is free software under the MPL-2.0: you can use it in a commercial product without asking us. Nothing in this section changes that.

If you are putting it on a real robot or fleet and want more than the public issue tracker, WiseVision (the maintainers) can help with:

Integration support: getting the server running against your stack, your message types and your QoS constraints.
Custom tools and prompts: handlers for your own interfaces, beyond the built-in topic, service and action set.
Priority fixes: a defect that blocks your deployment, handled on a schedule instead of a backlog.

How to reach us: use the form at wisevision.tech/contact (choose *ROS2 MCP on a real fleet*) or write to hello@wisevision.tech. Tell us the problem first: what robot, what stack, what is blocking you. We scope and quote per project; there is no price list, so please contact us. Questions that other users could learn from belong in Discussions or issues.

Want to see it on real data first? The forklift rosbag demo replays a warehouse forklift recording and walks through three MCP calls in about ten minutes.

⚙️ Installation

Follow the installation guide for step-by-step instructions:

🧩 Install in Visual Studio Code Copilot
🤖 Install in Claude Desktop
[💻 Install in Warp](installation/README.md#confi

Only the beginning is shown; read the rest in the repo

MCP Server Ros 2

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Aiterm MCP

README from the maker

ROS2 MCP

⚡ Quickstart (30 seconds, Docker)

🧰 Tools

🧭 Supported ROS 2 distributions

🆚 How it compares

🗺️ Roadmap (proposed, not committed)

🤖 For AI agents

🏢 Commercial support & integration

⚙️ Installation