rhinomcp
Сообществоот jingcheng-chen
RhinoMCP connects Rhino 3D to AI Agent through the Model Context Protocol (MCP)
Установка
brew install uvОписание
# RhinoMCP - Rhino Model Context Protocol Integration <img src="assets/rhinomcp_logo.svg" alt="RhinoMCP Logo" width="130"> RhinoMCP connects Rhino to AI agents through the Model Context Protocol (MCP), allowing AI agents to directly interact with and control Rhino. This integration enables prompt assisted 3D modeling in Rhino 3D. ## Features - **Two-way communication**: Connect AI agents to Rhino through a socket-based server - **Object manipulation**: Create, modify, and delete 3D objects in Rhino - **Document inspection**: Get detailed information about the current Rhino document - **Script execution**: Execute Rhinos python scripts in Rhino (experimental, may not work every time) - **Get Script Documentation**: Get the documentation of a specific RhinoScript python function - **Object selection**: Select objects based on filters, e.g. name, color, category, etc. with "and" or "or" logic - **Set/Create/Delete Layers**: Get or set the current layer, create new layers, or delete layers > [!NOTE] > So far the tool only supports creating primitive objects for proof of concept. More geometries will be added in the future. > Supported objects: Point, Line, Polyline, Circle, Arc, Ellipse, Curve, Box, Sphere, Cone, Cylinder, Surface (from points) ## Demo ### Demo 1 This demo shows how AI can interact with Rhino in two directions. Click the image below to watch the video. [](https://youtu.be/pi6dbqUuhI4) ### Demo 2 This demo shows how to ask AI to create custom scripts and execute them in Rhino. Click the image below to watch the video. [](https://youtu.be/NFOF_Pjp3qY) ## Tutorial Thanks to Nate. He has created a showcase and installation [tutorial](https://www.youtube.com/watch?v=z2IBP81ABRM) for this tool. ## Components The system consists of two main components: 1. **MCP Server (`src/rhino_mcp_server/server.py`)**: A Python server that implements the Model Context Protocol and connects to the Rhino plugin 2. **Rhino Plugin (`src/rhino_mcp_plugin`)**: A Rhino plugin that creates a socket server within Rhino to receive and execute commands ## Installation ### Prerequisites - Rhino 7 or newer (Works onWindows and Mac); make sure you Rhino is up to date. - Python 3.10 or newer - uv package manager **⚠️ Only run one instance of the MCP server (either on Cursor or Claude Desktop), not both** ### Installing the Rhino Plugin 1. Go to Tools > Package Manager 2. Search for `rhinomcp` 3. Click `Install` #### Install uv **If you're on Mac, please install uv as** ```bash brew install uv ``` **On Windows** ```bash powershell -c "irm https://astral.sh/uv/install.ps1 | iex" ``` **⚠️ Do not proceed before installing UV** ### Config file ```json { "mcpServers": { "rhino": { "command": "uvx", "args": ["rhinomcp"] } } } ``` ### Claude for Desktop Integration Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the above config file. ### Cursor integration Make sure your cursor is up to date. Create a folder `.cursor` in your project root. Create a file `mcp.json` in the `.cursor` folder and include the above config file: Go to Cursor Settings > MCP and check if it's enabled. ## Usage ### Starting the Connection  1. In Rhino, type `mcpstart` in the command line 2. Make sure the MCP server is running in the rhino terminal ### Using with Claude Once the config file has been set on Claude, and the plugin is running on Rhino, you will see a hammer icon with tools for the RhinoMCP.  ### Using with Cursor Once the config file has been set on Cursor, and the plugin is running on Rhino, you will see the green indicator in front of the MCP server.  If not, try refresh the server in Cursor. If any console pops up, please do not close it. Once it's ready, use `Ctrl+I` to open the chat box and start chatting with Rhino. Make sure you've selected **Agent** mode.  ## Technical Details ### Communication Protocol The system uses a simple JSON-based protocol over TCP sockets: - **Commands** are sent as JSON objects with a `type` and optional `params` - **Responses** are JSON objects with a `status` and `result` or `message` ## Limitations & Security Considerations - The `get_document_info` only fetches max 30 objects, layers, material etc. to avoid huge dataset that overwhelms Claude. - Complex operations might need to be broken down into smaller steps ## Building the tool and publishing ### Building and publishing the server ```bash cd rhino_mcp_server uv build uv publish ``` ### Building and publishing the plugin 1. build the tool in Release mode 2. copy the "manifest.yml" file to the "bin/Release" folder 3. run `yak build` in the Re
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