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  3. Jupytercad MCP
Jupytercad MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 7:33:22 PM

Jupytercad MCP

User RatingsBe the first to rate and review this MCP server!
View Repository20 GitHub StarsTotal stargazers on GitHub for the source repository (20 stars).Visit Website
jupytercadcad3d-modelingmcpdesign

Controls JupyterCAD documents through MCP tools for creating, editing, and inspecting CAD geometry with natural-language clients.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "asmith26-jupytercad-mcp": {
      "command": "uvx",
      "args": [
        "--with"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (18) Directory Badge Claim listing Alternatives🎨 More in Art & Culture

Overview

asmith26/jupytercad-mcp MCP server connects MCP clients to JupyterCAD documents, allowing language-driven inspection and editing of CAD designs. It exposes tools for creating primitives, applying boolean and edge operations, managing annotations and object properties, and reading the current JCAD document. Use it when an agent needs to modify or inspect a JupyterCAD design through stdio or streamable HTTP.

Use cases

β€’Create primitive CAD geometry from natural-language instructions
β€’Apply boolean operations to JupyterCAD objects
β€’Inspect the current contents of a JCAD document
β€’Adjust object visibility and color through agent tool calls
β€’Prototype an OpenAI Agents SDK CAD workflow

Key features

β€’JupyterCAD document inspection
β€’Primitive shape creation
β€’Boolean cut, union, and intersection operations
β€’Chamfer and fillet operations
β€’Annotation and object property management
β€’stdio and streamable HTTP transports

Capabilities & Tool Schemas (18) ~213 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Jupytercad MCP.

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.

How Jupytercad MCP works

What asmith26/jupytercad-mcp MCP server does

asmith26/jupytercad-mcp MCP server lets an MCP client control a JupyterCAD document through structured tools. It supports both reading the current document and making changes to its objects, annotations, visibility, and colors. The intended interaction model is natural-language control through an LLM client, while the server translates tool calls into document operations.

The server is suited to CAD workflows that use JupyterCAD as the visual document environment. It can create common geometric primitives, combine or modify them, and expose the resulting design state for inspection. The repository also includes an OpenAI Agents SDK example that demonstrates sending an instruction such as adding a box and viewing the resulting changes in JupyterLab.

How it works

The default transport is MCP stdio. A client starts the local process and communicates with it over standard input and output. The server also supports MCP streamable HTTP when started with the streamable-http argument. The client example can be configured to use that transport.

JupyterLab is used in the example as the environment where the CAD file is created and visualized. The example expects a file named my_cad_design.jcad by default, and the JupyterCAD MCP server applies changes to that document. This setup provides a visual way to inspect operations issued through the agent.

Setup and configuration

Start the stdio server with:

bash
uvx --with jupytercad-mcp jupytercad-mcp

For streamable HTTP, run:

bash
uvx --with jupytercad-mcp jupytercad-mcp streamable-http

The repository’s example requires cloning the project, installing the OpenAI Agents SDK through the provided setup target, configuring a supported model in examples/openai_agents_client.py, and running JupyterLab from the project root. The example’s optional settings include an interactive REPL and MLflow tracing. These settings belong to the example client rather than the MCP server’s required runtime configuration.

Tools and capabilities

asmith26/jupytercad-mcp MCP server exposes tools for the following operations:

  • Read the current JCAD document.
  • Add or remove boxes, cones, cylinders, spheres, toruses, and OpenCascade TopoDS shapes.
  • Remove objects and rename them.
  • Add or remove document annotations.
  • Apply cut, union, and intersection boolean operations.
  • Apply chamfer and fillet operations to objects.
  • Change object visibility and color.

These tools cover basic document management, primitive construction, several solid-modeling operations, and presentation properties. The provided material does not specify the accepted parameter schemas, color format, object identifier format, or geometric constraints for individual tools.

Limitations and notes

The material documents JupyterCAD support and the listed MCP transports, but it does not identify compatibility with specific desktop clients such as Claude Desktop, Cursor, Windsurf, or Cline. It also does not state a license, authentication mechanism, hosted endpoint, or required environment variables.

The OpenAI Agents SDK walkthrough requires its own model configuration and may involve external OpenAI services, but those requirements are part of the example application. They are not described as requirements for running the MCP server itself. The documentation also does not describe undo behavior, persistence beyond the JCAD document, import or export formats, or advanced modeling features beyond the listed tools.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
20
Stargazers on the source repository.
Last commit
11mo ago
Most recent push to the default branch.
Tools exposed
18
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Jupytercad MCP

Start it with `uvx --with jupytercad-mcp jupytercad-mcp` for the default stdio transport.

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Technical Specs & Signals

Category🎨Art & Culture
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthNo auth required
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars20
GitHub Star CountTotal stargazers on GitHub representing community popularity (20 stars).
Last commit11mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 7, 2025
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools26/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 21d ago via OSV.dev Β· --with (PyPI)

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