Which integrations are available for this server?

Integrates with NVIDIA NIM cloud to provide knowledge and RAG tools for Isaac Sim, including API documentation lookup, code example search, extension discovery, and settings search.

How do I use simliverse-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@simliverse-mcp search Isaac Sim code examples for loading a USD scene" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

simliverse-mcp

Official

by SimLiverse

Overview Schema Related Servers Score Discussions

Python

Local

SimLiverse MCP Server (`simliverse-mcp`)

The unified Model Context Protocol (MCP) server for the SimLiverse Physical AI Platform.

It provides a minimal, clean 10-tool interface to LLM Copilots:

5 Knowledge/RAG tools (NVIDIA NIM cloud) — look up Isaac Sim Python API documentation and code examples.
5 Execution/Telemetry tools (Isaac Sim TCP socket on port 8766) — execute code, play/pause physics, inspect USD scene state, and read joint telemetry.

Available Tools (10 Total)

📚 Knowledge & RAG (NVIDIA NIM)

get_isaac_sim_instructions: Read official Isaac Sim developer guide topics.
search_isaac_sim_code_examples: Find working Python code snippets for Isaac Sim 5.1.0.
search_isaac_sim_extensions: Discover Omniverse extensions by capability.
get_isaac_sim_extension_details: Inspect extension API specifications.
search_isaac_sim_settings: Search physics engine and rendering config keys.

🤖 Execution & Control (Isaac Sim Extension via TCP :8766)

execute_script: Run Python code inside the live Isaac Sim stage runtime.
set_simulation_state: Play, pause, stop, or step physics frames.
reset_scene: Clear the USD stage and reset to initial state.

👁️ Telemetry & Sensing

get_scene_info: Inspect stage prims, positions, asset root, and prim counts.
get_joint_states: Read joint positions, velocities, and limits for any robot prim.

Related MCP server: Unity Editor MCP Server

Architecture

SimLiverse Control Plane API (mcp_bridge.py)
        │
        │ HTTP Streamable MCP (port 9905)
        ▼
simliverse-mcp container (this repo)
  ├── 5 RAG tools  → NVIDIA NIM Cloud (api.nvidia.com)
  └── 5 Exec tools → TCP socket (localhost:8766)
                         │
                         ▼
        isaac.sim.mcp_extension (Omniverse Extension)
                         │
                         ▼
               Live Isaac Sim Stage

Running Locally

pip install -e .
export NVIDIA_API_KEY="nvapi-..."
python -m isaac_mcp.server

Docker Deployment

docker build -t simliverse-mcp:latest .
docker run -d --name sl-mcp --network host -e NVIDIA_API_KEY="nvapi-..." simliverse-mcp:latest

License

MIT License (forked from whats2000/isaacsim-mcp-server & omni-mcp/isaac-sim-mcp).

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

Need Help?

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If you are the server author, to access and configure the admin panel.

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SimLiverse MCP Server (simliverse-mcp)