Our verdict
We have not reviewed omni-mcp/isaac-sim-mcp yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About omni-mcp/isaac-sim-mcp
An MCP server and extension that connects large language models and AI agents to NVIDIA Isaac Sim for robotics simulation. It enables agentic control of simulation scenes, robot behaviors, and data generation through the Model Context Protocol.
Best for
Robotics developers and researchers who want to script or control Isaac Sim through AI agents and language models.
Use cases
- Controlling simulation environments programmatically via natural language or agentic AI
- Generating synthetic training data for robot perception and manipulation tasks
- Testing and iterating on robot control policies in a physics-accurate simulator
Notes
173 stars on GitHub. Last updated 2025-04-25. Licensed MIT.
Pros
- Open source with Python SDK for easy customization
- Leverages industry-standard MCP for interoperability with AI agents
- Directly integrates with a leading robotics simulator
Cons
- Requires NVIDIA Isaac Sim (proprietary, GPU-intensive) to be installed separately
- Small community and limited documentation (173 stars)
- Scope is narrow: only relevant to robotics simulation workflows
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
uv run /home/ubuntu/Documents/isaac-sim-mcp/isaac_mcp/server.pyTools exposed
get_scene_infocreate_physics_scenecreate_robotomni_kit_commandexecute_script
Clients the listing names (not checked here)
Cursor
Example client config
{
"mcpServers": {
"isaac-sim": {
"command": "uv run /home/ubuntu/Documents/isaac-sim-mcp/isaac_mcp/server.py"
}
}
}Install
Add omni-mcp/isaac-sim-mcp to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What omni-mcp/isaac-sim-mcp connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Sources
Where this comes from
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A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
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Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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