Server data from the Official MCP Registry
Agent-first CAD: editable .kcad.ts source, deterministic review, OpenCASCADE kernel.
Agent-first CAD: editable .kcad.ts source, deterministic review, OpenCASCADE kernel.
Remote endpoints: streamable-http: https://mcp.kernelcad.com/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
48 tools verified · Open access · 32 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-kernelcad-kernelcad": {
"url": "https://mcp.kernelcad.com/mcp"
}
}
}From the project's GitHub README.
kernelCAD turns mechanical intent into editable .kcad.ts source,
deterministic review evidence, and exportable manufacturing artifacts.
The core loop is source-first: design brief -> editable .kcad.ts ->
evaluated model -> deterministic validation -> guided revision -> export package.
kernelCAD is not trying to be a browser clone of Fusion, Onshape, or SolidWorks. Replicad/OpenCASCADE are the kernel layer. kernelCAD is the agent-first workflow layer above the kernel: deterministic CAD source, feature history, diagnostics, validation, variants, and human review.
.kcad.ts, CLI, and MCP. The UI reviews and steers generated designs.For agents and contributors, .kcad.ts source is the design source of truth.
Rendered PNG/MP4 files, STEP/STL exports, score JSON, and capture-run metadata
are generated evidence or deliverables. Prompt briefs, source files, and
provenance metadata remain source. Change source first, regenerate explicit
targets, and avoid broad artifact refreshes unless you are intentionally
rebuilding a demo or release bundle.
Use deterministic checks before visual judgment:
kernelcad evaluate model.kcad.ts
# then run review_cad from an MCP client connected through `kernelcad mcp`
kernelcad export step model.kcad.ts -o model.step
kernelcad export stl model.kcad.ts -o model.stl
When a rendered artifact is produced, inspect the image/video itself and report what is visible: proportions, interfaces, floating geometry, occlusion, camera framing, and whether required features are legible. Passing tests are not a substitute for visual evidence.
When visual evidence matters, keep a deterministic inspection bundle:
kernelcad render inspect model.kcad.ts model.inspect
The v1 bundle writes a manifest and canonical RGB views. It can also emit
machine-readable mask, depth, and normals channels:
kernelcad render inspect model.kcad.ts model.inspect --channels rgb,mask,depth,normals
Use --focus <names> or --hide <names> when a specific feature id or
assembly part needs isolated review. Keep richer channels in the same manifest
packet; do not replace the canonical RGB views.
For real hardware, prefer catalog/vendor geometry via lib.fromSTEP(...)
instead of fake placeholder boxes or cylinders. This keeps mounts, clearances,
and mechanism checks tied to physical components.
npm install -g kernelcad
Drop this in bracket.kcad.ts:
const w = param('Width', 60, { unit: 'mm' });
const h = param('Height', 40, { unit: 'mm' });
const t = param('Thickness', 5, { unit: 'mm' });
const base = box(w, h, t);
const hole = cylinder(t + 2, 4).translate(w / 2, h / 2, -1);
return base.subtract(hole).fillet(1);
Run it:
kernelcad evaluate bracket.kcad.ts
kernelcad export stl bracket.kcad.ts -o bracket.stl
That's it. For agents: kernelcad mcp runs an MCP server with dynamic model
introspection tools. See SKILL.md (bundled with the install) for the full API
surface and authoring guide.
kernelCAD runs as an MCP server, so Claude Desktop can drive it locally. After
npm install -g kernelcad, add an entry to your Claude Desktop config file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json{
"mcpServers": {
"kernelcad": {
"command": "npx",
"args": ["-y", "kernelcad", "mcp"]
}
}
}
Restart Claude Desktop. The kernelCAD MCP tools (review_cad, model
introspection, export helpers, etc.) appear in the tools list.
For prompt-driven authoring against the hosted gateway, sign in at
app.kernelcad.com/connect and use the
generated kernelcad mcp --cloud --token <…> snippet. The hosted surface adds
generate_kcad_from_prompt (turn a natural-language brief into a .kcad.ts
source) on top of the introspection and review tools, and serves the
kernelcad-authoring skill as an MCP resource so Claude Desktop loads it
automatically on connect. Free tier: 3 LLM-generated parts per month;
introspection and review tools are unlimited.
A one-shot
kernelcad install --claude-desktopcommand that edits this config for you is on the next slice — until then the snippet above is the interim path.
Web app + dev workflow (clone the repo, npm install, npm run dev) for contributors who want to hack on the kernel or the visual debugger:
git clone https://github.com/w1ne/kernelCAD-web.git
cd kernelCAD-web
npm install
npm run dev # web visual debugger at localhost:5173
npm run build:cli # build the CLI bundle into dist/cli/
npm run test # full vitest suite
npm run qc # quick quality gate (lint + typecheck + tests)
MIT — see LICENSE.
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
by Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
by mcp-marketplace · Developer Tools
Scaffold, build, and publish TypeScript MCP servers to npm — conversationally