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Nvidia Isaac

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Enables AI tools like Windsurf and Claude to control NVIDIA Isaac Sim and Isaac Lab through natural language, providing tools for scene inspection, prim managem

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Описание

Enables AI tools like Windsurf and Claude to control NVIDIA Isaac Sim and Isaac Lab through natural language, providing tools for scene inspection, prim management, physics simulation, and robot spawning.

README

MCP (Model Context Protocol) server for NVIDIA Isaac Sim & Isaac Lab — enables AI tools like Windsurf, Claude Desktop, and Claude Code to control Isaac Sim through natural language.

Architecture

AI Client (Windsurf/Claude)  ←— MCP (stdio) —→  nvidia-isaac-mcp (this package)
                                                       │
                                                  TCP Socket :9876
                                                       │
                                                  isaacsim.mcp.server
                                                  (Extension inside Isaac Sim)

Two components:

  1. Isaac Sim Extension (exts/isaacsim.mcp.server/) — runs inside Isaac Sim, listens on TCP port 9876
  2. MCP Server (src/nvidia_isaac_mcp/) — external Python process that AI tools connect to

Prerequisites

  • NVIDIA Isaac Sim 5.x
  • Python 3.10+
  • uv (recommended)

Setup

1. Start Isaac Sim with the extension

cd <your-isaac-sim-install>
bash isaac-sim.sh \
    --ext-folder <path-to-nvidia-isaac-mcp>/exts \
    --enable isaacsim.mcp.server

The extension will start listening on 127.0.0.1:9876.

2. Run the MCP server

cd <path-to-nvidia-isaac-mcp>
uv run nvidia-isaac-mcp

3. Configure your AI tool

Windsurf / Claude Desktop — add to MCP settings:

{
    "mcpServers": {
        "isaac-sim": {
            "command": "uv",
            "args": ["run", "--directory", "<path-to-nvidia-isaac-mcp>", "nvidia-isaac-mcp"]
        }
    }
}

Available Tools

Core

Tool Description
ping Check connectivity to Isaac Sim and return server version

Scene Inspection

Tool Description
get_stage_info Overview of the current USD stage (prims, up-axis, etc.)
get_prim_info Detailed info about a specific prim (attributes, transform, children)

Prim CRUD

Tool Description
create_prim Create a USD prim (Cube, Sphere, Cylinder, Cone, Plane, Capsule, Xform)
modify_prim Modify a prim's transform or visibility
delete_prim Remove a prim from the stage

Code Execution

Tool Description
execute_code Run arbitrary Python code inside Isaac Sim's runtime

Physics & Simulation

Tool Description
create_physics_scene Create a PhysicsScene prim to enable simulation
add_rigid_body Add rigid body physics to an existing prim
add_ground_plane Add a physics-enabled ground plane
simulation_control Play, pause, or stop the simulation

Robots & Assets

Tool Description
spawn_robot Spawn a built-in robot (franka, ur10, jetbot, etc.)
list_available_robots List available built-in robot assets
load_usd_asset Load any USD file as a reference into the stage

Testing

# Direct TCP test (no MCP server needed, just the extension)
python tests/test_e2e.py

# MCP inspector
uv run mcp dev src/nvidia_isaac_mcp/server.py

Environment Variables

Variable Default Description
ISAAC_SIM_HOST 127.0.0.1 Extension socket host
ISAAC_SIM_PORT 9876 Extension socket port

from github.com/nullbyte91/nvidia-isaac-mcp

Установка Nvidia Isaac

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/nullbyte91/nvidia-isaac-mcp

FAQ

Nvidia Isaac MCP бесплатный?

Да, Nvidia Isaac MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Nvidia Isaac?

Нет, Nvidia Isaac работает без API-ключей и переменных окружения.

Nvidia Isaac — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Nvidia Isaac в Claude Desktop, Claude Code или Cursor?

Открой Nvidia Isaac на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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