HOOPS AI MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@HOOPS AI MCP ServerDisplay the 3D CAD file 'C:\temp\part.step'."
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.
HOOPS AI MCP Server
An MCP (Model Context Protocol) server that bridges Claude Desktop to the HOOPS AI WebAPI.
With this server registered in Claude Desktop, users can perform 3D CAD analysis through natural language — no code required.
See the root README for an overview of the full platform.
Prerequisites
uv installed on the Claude Desktop machine (Claude Desktop uses
uvto launch the MCP server process)The WebAPI server running and accessible (default:
http://127.0.0.1:8000)
→ See webapi/README.md for setup instructions
Related MCP server: Cinema4D MCP Server
Setup
Register the MCP server in Claude Desktop
Open Claude Desktop
Go to Settings → Developer → Edit Config
This opens
claude_desktop_config.json. Add the following entry undermcpServers:
{
"mcpServers": {
"hoops-ai": {
"command": "uv",
"args": [
"run",
"--directory",
"C:\\path\\to\\HOOPS_AI-MCP\\mcp_server",
"server.py"
]
}
}
}Replace
C:\\path\\to\\HOOPS_AI-MCPwith the actual path where you cloned this repository.
Troubleshooting —
uvnot found: Claude Desktop launches with a limited PATH and may fail to finduveven if it works in your terminal.
If the MCP server does not appear in Claude Desktop, use the full path touv.exeinstead of"uv":where.exe uv # find the full path, e.g. C:\Users\<you>\.local\bin\uv.exeThen update
"command"in the config:"command": "C:\\Users\\<you>\\.local\\bin\\uv.exe"
Same machine (default):
No additional configuration is needed.
The MCP server defaults to http://127.0.0.1:8000, so if the WebAPI server is running on the same machine, the basic config above works as-is.
When the WebAPI server is on a different machine (client-server setup):
Add "env": {"HOOPS_WEBAPI_URL": "..."} to the config — no system environment variable is needed.
Claude Desktop passes this value to the MCP server process automatically:
{
"mcpServers": {
"hoops-ai": {
"command": "uv",
"args": [
"run",
"--directory",
"C:\\path\\to\\HOOPS_AI-MCP\\mcp_server",
"server.py"
],
"env": {
"HOOPS_WEBAPI_URL": "http://192.168.0.6:8000"
}
}
}
}Replace
192.168.0.6with the actual IP address of the machine running the WebAPI server.
This is the only configuration change needed on the client machine.
Save the file and restart Claude Desktop.
Available MCP Tools
Claude Desktop can call these 12 tools using natural language:
Tool | Description |
| Upload a local CAD file to the server. Returns |
| Open a CAD file in the interactive 3D browser viewer. Returns |
| Terminate the last active viewer, or all viewers ( |
| Build a face adjacency graph from a CAD file. Returns graph data (nodes, edges, counts) and |
| Extract face and edge attributes (types, areas, lengths, dihedral angles, etc.) from a CAD file. |
| Get a summary of the Manufacturing Feature Recognition (MFR) dataset. |
| List all MFR label IDs, feature names, and descriptions. |
| Find CAD files in the MFR dataset that contain a given manufacturing feature. |
| Return the URL of the thumbnail PNG for a given dataset file ID. |
| Run MFR inference on a CAD file. Launches the viewer and returns predictions, probabilities, |
| Find the top-k most similar parts using HOOPS Embeddings and a FAISS index. Returns match IDs, similarity scores, and |
| Return the URL of the pre-generated PNG thumbnail for a part filename returned by |
Example Usage in Claude Desktop
Once the MCP server is registered and the WebAPI server is running, you can chat with Claude:
What HOOPS AI tools are available?"C:\temp\helloworld.stp" — please display this 3D CAD file."C:\temp\Flange287.stp" — show this model and give me its B-Rep information.Tell me about the manufacturing feature recognition dataset."C:\temp\nist_ftc_06_asme1_rd_sw1802.SLDPRT" — run manufacturing feature recognition and colorize by feature type."C:\temp\idler_sprocket.step" — search for similar parts to this component.This server cannot be installed
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