gazebo-mcp
MCP server for AI agents to drive Gazebo / gz-sim simulation, with offline mock mode for CI/demos.
README
gazebo-mcp
gazebo-mcp is an MCP server so AI agents can drive Gazebo / gz-sim: worlds, models, poses, pause/step — with a full offline mock for CI and demos (no Gazebo install required).
Product: mergeos-bounties/gazebo-mcp
Highlights
| Capability | Description |
|---|---|
| Offline mock | Seeded world + models; spawn/delete/pose without Gazebo |
| Live bridge | Optional HTTP/file bridge when GAZEBO_MCP_MODE=live |
| MCP stdio | Cursor / Claude / Grok host integration |
| CLI | demo · doctor · serve · call |
Quick start
cd gazebo-mcp
python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -e ".[dev]"
gazebo-mcp demo
gazebo-mcp demo --profile fleet
gazebo-mcp doctor
pytest -q
gazebo-mcp serve
Docker mock image
Build a slim container that runs the MCP server in offline mock mode:
docker build -t gazebo-mcp:mock .
Run the server over stdio:
docker run --rm -i -e GAZEBO_MCP_MODE=mock gazebo-mcp:mock
Use Docker Compose for host integrations that expect a long-running stdio process:
docker compose up --build gazebo-mcp
Offline smoke check without privileged host Gazebo:
docker run --rm -e GAZEBO_MCP_MODE=mock gazebo-mcp:mock gazebo-mcp demo
The image installs only the Python package and its dependencies. It does not install Gazebo, mount host devices, or require privileged container settings.
Modes
| Mode | Env | Behavior |
|---|---|---|
| mock (default) | GAZEBO_MCP_MODE=mock |
In-memory world graph |
| live | GAZEBO_MCP_MODE=live + bridge URL/file |
Forwards to local Gazebo bridge |
Live mode can restrict spawn model types before reaching the bridge:
$env:GAZEBO_MCP_SPAWN_ALLOWLIST = "box,sphere,cylinder"
Tools
| Tool | Purpose |
|---|---|
gazebo_doctor |
Connectivity / sim health |
gazebo_seed_demo |
Reset mock shapes world |
gazebo_world_info |
World name, paused, sim time |
gazebo_list_models |
Models in the world |
gazebo_spawn / gazebo_delete |
Model lifecycle |
gazebo_set_pose / gazebo_get_pose |
Pose control |
gazebo_pause / gazebo_unpause / gazebo_step |
Clock control |
Velocity metadata
Mock pose updates can store linear and angular velocity metadata alongside the
pose. The metadata is returned by gazebo_get_pose, gazebo_list_models, and
gazebo://world snapshots:
gazebo-mcp call set_pose name=box_1 x=1 y=2 z=0.5 yaw=0.25 linear_x=0.2 angular_z=0.1
Demo profiles
The default mock seed includes a ground plane, box, and sphere. The fleet
profile seeds ground_plane plus robot_0, robot_1, and robot_2 with
distinct poses for multi-robot demos:
gazebo-mcp demo --profile fleet
Resources
| Resource URI | Purpose |
|---|---|
gazebo://world |
JSON snapshot of the current world: models + poses, sim time, paused state, physics params |
The gazebo://world resource returns the live mock world state (or the live-bridge
state in live mode). Example payload:
{
"ok": true,
"world": "shapes_demo",
"paused": false,
"sim_time_sec": 1.234,
"model_count": 3,
"models": [
{"name": "ground_plane", "type": "plane", "pose": {"x": 0.0, "y": 0.0, "z": 0.0, "yaw": 0.0}},
{"name": "box_1", "type": "box", "pose": {"x": 1.0, "y": 0.0, "z": 0.5, "yaw": 0.0}},
{"name": "sphere_1", "type": "sphere", "pose": {"x": -1.0, "y": 0.5, "z": 0.5, "yaw": 0.0}}
],
"physics": {
"engine": "ode-mock",
"max_step_size": 0.001,
"real_time_factor": 1.0,
"gravity": {"x": 0.0, "y": 0.0, "z": -9.8}
}
}
Smoke it offline via the CLI:
gazebo-mcp call snapshot
One-shot calls can read tool arguments from a JSON object file:
{
"name": "json_box",
"model_type": "box",
"x": 2,
"y": 3,
"z": 0.5
}
gazebo-mcp call spawn --json-file args.json
Examples
- examples/cursor_mcp.json
- examples/claude_desktop_config.json
- docs/HOST_SETUP.md for Cursor, Claude Desktop, and Grok setup
- docs/LIVE_BRIDGE.md for the live bridge health/world_info contract
Development
ruff check src tests
pytest -q
gazebo-mcp tools list
MergeOS bounties
Star → claim issue → PR to master → MRG 25–200.
See mergeos.
License
MIT · MergeOS / ThanhTrucSolutions
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