Webots ROS 2 Spot simulation — device market

Install

Three ways to run this device. Each one serves its fake backend: no instrument, no simulator install and no upstream checkout.

OpenAI4S (one command)

shell

openai4s lab add robots/maskor__webots_ros2_spot

Installs the device into the OpenAI4S Lab on its fake backend and starts it. First time? See setup below.

Or, in the workbench, open the Lab tab → Market → Install.

Standalone MHS endpoint

shell

git clone --depth 1 https://github.com/PKU-YuanGroup/OpenMHS.git && cd OpenMHS
PYTHONPATH=MHS/sdk/src python3 -m mhs serve robots/maskor__webots_ros2_spot --port 7400
# in a second terminal, from the same directory:
PYTHONPATH=MHS/sdk/src python3 -m mhs describe --endpoint http://127.0.0.1:7400

Serves the device as an MHS endpoint on port 7400 from an OpenMHS clone (Python 3.10 or later, standard library only); describe prints what it offers.

Any MCP host (Claude Desktop, Cursor, …)

mcp configuration

{
  "mcpServers": {
    "webots-ros2-spot": {
      "command": "python3",
      "args": [
        "-m",
        "mhs",
        "serve",
        "robots/maskor__webots_ros2_spot",
        "--mcp"
      ],
      "env": {
        "PYTHONPATH": "/path/to/OpenMHS/MHS/sdk/src"
      }
    }
  }
}

Add this server to the host's MCP configuration and replace /path/to/OpenMHS with the path of your OpenMHS clone. The host starts the server and talks to it on stdin and stdout.

What it does

Measures

joint_positions
odom_position
odom_orientation
odom_twist

Adjusts

Nothing declared.

Actions

publish_velocity: Publish one geometry_msgs/Twist to the upstream /cmd_vel subscription; the receipt confirms only that rosbridge accepted the publication, not motion, arrival or stopping
stand_up: Call /Spot/stand_up and require the 'standing up' answer; the callback returns after starting a one-second joint-target transition, so the answer is not completion
sit_down: Call /Spot/sit_down and require the 'sitting down' answer; the callback returns after starting a one-second joint-target transition, so the answer is not completion
lie_down: Fixed /Spot/lie_down call with override=true; it sets fixed_motion and starts the fixed lie targets. It acknowledges the start only. The sensed stop sends this request and confirms on odometry; this command alone is not that stop
set_height: Call /Spot/set_height with a body height offset in the source range; the callback stores zd = -height and returns an empty answer on success

Names as the driver declares them. Units, limits and the safety declaration are in the package's REFERENCE.md.

First-time setup

The OpenAI4S workbench with the OpenMHS lab, from a source checkout:

shell

# OpenAI4S workbench with the OpenMHS lab (source checkout)
git clone --recursive https://github.com/PKU-YuanGroup/OpenAI4S.git
cd OpenAI4S && ./setup.sh && source .venv/bin/activate
openai4s lab add robots/maskor__webots_ros2_spot
openai4s serve        # open the Lab tab

The standalone endpoint and the MCP server need only an OpenMHS clone and Python 3.10 or later. More in the market's getting-started guide and on the OpenAI4S host page.

Source and evidence

Upstream: maskor/webots_ros2_spot
Pinned commit: 1245900385c5
Licence: AGPL-3.0
Stars: 79
Evidence: contract_checked on the fake backend
Backends: fake

The driver package MHS/drivers/robots/maskor__webots_ros2_spot wraps the upstream code at the pinned commit. Its REFERENCE.md documents the full contract: every value, action, unit, limit and the safety declaration.