kernelCAD

kernelCAD

Enables agent-driven CAD design through deterministic source files (.kcad.ts), including model evaluation, validation, and export to STEP/STL via MCP tools for review and introspection.

Category
访问服务器

README

kernelCAD - CAD runtime for agents

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.

Philosophy

  1. Agent-First: The primary interface is .kcad.ts, CLI, and MCP. The UI reviews and steers generated designs.
  2. Editable Source: Geometry is deterministic source code with explicit feature history, params, assemblies, and diagnostics.
  3. Validation-Centered: Useful CAD output needs deterministic review for constraints, hardware fit, clearances, and exportability.
  4. Workflow Over Primitives: Product progress is measured by intent-level workflows, not by copying every traditional CAD button.

Agent workflow

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.

Features

  • Headless Core: Run CAD operations in Node.js or Web Workers without a DOM.
  • Agent API: kernelCAD APIs for params, assemblies, NURBS, SDF bodies, sheet metal workflows, introspection, and feedback loops.
  • Review Cockpit: Browser-based 3D preview for inspecting generated designs and validation results.
  • Standard Exports: STEP/STL generation.
  • Robust Kernel: Built on OpenCASCADE, with Replicad kept as a kernel implementation detail where it is still used.

Get Started

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.

Use with Claude Desktop

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:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.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-desktop command that edits this config for you is on the next slice — until then the snippet above is the interim path.

Contributing

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)

License

MIT — see LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选