jupytercad-mcp
Allows AI agents to control JupyterCAD, a 3D CAD modeling extension for JupyterLab, through natural language commands to create, modify, and manipulate 3D shapes and perform boolean operations.
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., "@jupytercad-mcpAdd a box with width 2, height 3, depth 4"
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.
jupytercad-mcp
An MCP server for JupyterCAD that allows you to control it using LLMs/natural language.
https://github.com/user-attachments/assets/7edb31b2-2c80-4096-9d9c-048ae27c54e7
Suggestions and contributions are very welcome.
Usage
The default transport mechanism is stdio. To start the server with stdio, use the following command:
uvx --with jupytercad-mcp jupytercad-mcpTo use the streamable-http transport, use this command instead:
uvx --with jupytercad-mcp jupytercad-mcp streamable-httpExample
An example using the OpenAI Agents SDK is available at examples/openai_agents_client.py. To run it, follow these steps:
Clone the repository and navigate into the directory:
git clone git@github.com:asmith26/jupytercad-mcp.git cd jupytercad-mcpInstall the OpenAI Agents SDK. A Makefile target is provided for convenience:
make setup-examples-envIn examples/openai_agents_client.py, update line 13 to configure a
MODEL(see supported models).Run JupyterLab from the project's root directory:
make jupyter-labIn JupyterLab, create a new "CAD file" and rename it to my_cad_design.jcad. This file path matches the default
JCAD_PATHin the example, allowing you to visualise the changes made by the JupyterCAD MCP server.(Optional) The OpenAI Agents SDK supports tracing to record events like LLM generations and tool calls. To enable it, set
USE_MLFLOW_TRACING=Trueand run the MLflow UI:make mlflow-uiRun the example with the default instruction, "Add a box with width/height/depth 1":
make example-openai-agents-client
Interactive Chat Interface
The example includes an interactive chat interface using the OpenAI Agents SDK's
REPL utility. To enable it, set USE_REPL=True.
streamable-http
To use the streamable-http transport, first start the MCP server:
uvx --with jupytercad-mcp jupytercad-mcp streamable-httpThen, run the example with the TRANSPORT variable set to "streamable-http" in the client example.
Tools
The following tools are available:
get_current_cad_design: Reads the current content of the JCAD document.
remove: Remove an object from the document.
rename: Rename an object in the document.
add_annotation: Add an annotation to the document.
remove_annotation: Remove an annotation from the document.
add_occ_shape: Add an OpenCascade TopoDS shape to the document.
add_box: Add a box to the document.
add_cone: Add a cone to the document.
add_cylinder: Add a cylinder to the document.
add_sphere: Add a sphere to the document.
add_torus: Add a torus to the document.
cut: Apply a cut boolean operation between two objects.
fuse: Apply a union boolean operation between two objects.
intersect: Apply an intersection boolean operation between two objects.
chamfer: Apply a chamfer operation on an object.
fillet: Apply a fillet operation on an object.
set_visible: Sets the visibility of an object.
set_color: Sets the color of an object.
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