Skip to main content
Glama
toshi-bata

HOOPS AI MCP Server

by toshi-bata

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 uv to 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

  1. Open Claude Desktop

  2. Go to SettingsDeveloperEdit Config

  3. This opens claude_desktop_config.json. Add the following entry under mcpServers:

{
  "mcpServers": {
    "hoops-ai": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "C:\\path\\to\\HOOPS_AI-MCP\\mcp_server",
        "server.py"
      ],
      "env": {
        "HOOPS_WEBAPI_URL": "http://127.0.0.1:8000"
      }
    }
  }
}

Replace C:\\path\\to\\HOOPS_AI-MCP with the actual path where you cloned this repository.

HOOPS_WEBAPI_URL tells the MCP server where the WebAPI server is running:

  • Same machine (default): leave it as http://127.0.0.1:8000 (or omit the whole env block — this is the built-in default). Use this when the WebAPI server runs on the same PC as Claude Desktop.

  • Different machine (client-server setup): change it to the WebAPI machine's actual address, e.g. "http://192.168.0.6:8000". No system environment variable is needed — Claude Desktop passes this value to the MCP server process automatically. This is the only configuration change needed on the client machine.

Troubleshooting — uv not found: Claude Desktop launches with a limited PATH and may fail to find uv even if it works in your terminal.
If the MCP server does not appear in Claude Desktop, use the full path to uv.exe instead of "uv":

where.exe uv   # find the full path, e.g. C:\Users\<you>\.local\bin\uv.exe

Then update "command" in the config:

"command": "C:\\Users\\<you>\\.local\\bin\\uv.exe"
  1. Save the file and restart Claude Desktop.


Available MCP Tools

Claude Desktop can call these 17 tools using natural language.

Note: Tools that mutate server state (named similarity indexes, embedding-model switching) or run long-running jobs (Shape Space Map) live in a separate, private HOOPS_AI-MCPServer-demo companion repository and are not included here. See that repo's README if you have access, or register it alongside this one in Claude Desktop for the full tool set.

File Management

Tool

Description

upload_cad_model

Upload a local CAD file to the server. Returns file_id, filename, and already_existed. Pass file_id to other tools to avoid re-uploading.

open_cad_viewer

Open a CAD file in the interactive 3D browser viewer. Returns viewer_url and image_url (PNG preview).

terminate_CAD_viewer

Terminate the last active viewer, or all viewers (terminate_all=True).

B-Rep Analysis

Tool

Description

get_brep_adjacency_graph

Build a face adjacency graph from a CAD file. Returns graph data (nodes, edges, counts) and image_url (PNG visualization URL).

get_brep_attributes

Extract raw per-face and per-edge attributes (types, areas, lengths, dihedral angles, etc.) from a CAD file. For individual-entry questions, not counting.

get_brep_type_counts

Return face and edge counts grouped by type, aggregated server-side. Use for any counting question ("how many faces", "faces by type", totals).

Manufacturing Feature Recognition (MFR)

Tool

Description

run_MFR_inference

Run MFR inference on a CAD file. Returns predictions, probabilities, and viewer_url (no image_url — colorized results are only visible in the live viewer).

Tool

Description

search_similar_shapes

Find the top-k most similar parts using HOOPS Embeddings and a FAISS index. Returns match IDs, similarity scores, and image_url.

get_similar_part_image

Return the URL of the pre-generated PNG thumbnail for a part filename returned by search_similar_shapes.

get_similar_search_index_info

Return metadata about the loaded FAISS index: status, entry count, embedding model name, vector dimension, file path, last-modified timestamp, and auxiliary metadata. Read-only.

search_similarity_index

Search a named similarity index (created/managed via the private demo MCP server) for the top-k most similar parts to a query CAD file. Returns hits with id, score, metadata, and an image_url result-grid PNG.

embed_cad_shape

Compute the shape embedding for a single CAD part (no FAISS index or training required). Returns file_id, filename, dim, model_name, num_bodies, and cached. Embeddings are cached server-side for fast repeated calls.

compare_cad_shapes

Compute pairwise cosine-similarity scores for 2+ CAD parts (no FAISS index or training required). Returns an N×N similarity matrix, a ranked pair list, and per-file error details. Accepts local paths, existing file_ids, and/or a ZIP path. ZIP files are processed server-side (no large upload). Uses the server-wide active embedding model.

Part Classification

Tool

Description

run_part_classification_inference

Run Part Classification inference on a CAD file. Returns the top-k predicted part classes with confidence scores (1–45 classes).

get_part_classification_labels

Return the full 45-class part label dictionary with IDs and descriptions.

get_part_classification_files

Return the list of file IDs in the dataset that belong to a given part class (label_id 0–44).

get_part_classification_preview

Return a URL to a PNG thumbnail grid for a given part class (label_id, k, grid_cols).


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.
"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.
How similar are these two STEP files? C:\temp\partA.stp and C:\temp\partB.stp
Compare these three parts and tell me which two are most similar:
C:\temp\bracket_v1.step, C:\temp\bracket_v2.step, C:\temp\bracket_v3.step
Show me the similarity matrix for the CAD files in this ZIP: C:\temp\parts.zip
Compute the shape embedding for C:\temp\flange.stp and tell me the embedding dimension and model name.

Note — ZIP file processing: When a ZIP path is passed to compare_cad_shapes, the WebAPI server reads the file directly from the given path. This requires the MCP client and the WebAPI server to be on the same machine (the default local setup). For remote setups (WebAPI on a separate host), use upload_cad_model to upload individual files first, then pass their file_ids.


License

This MCP server's source code is released under the MIT License.

Using it requires a working HOOPS AI WebAPI server, which depends on the HOOPS AI SDK and a valid HOOPS_AI_LICENSE key — those are licensed separately by Tech Soft 3D and are not covered by this repository's MIT License.

F
license - not found
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

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

Related MCP Servers

View all related MCP servers

Related MCP Connectors

  • WHOOP recovery, strain, sleep and workouts in Claude via official WHOOP OAuth. Free, open source.

  • Garmin data in Claude & ChatGPT via the Garmin Health API. OAuth sign-in, no password sharing.

  • Connect Claude to Fathom meeting recordings, transcripts, and summaries

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/toshi-bata/HOOPS_AI-MCPServer'

If you have feedback or need assistance with the MCP directory API, please join our Discord server