ShapeItUp

ShapeItUp

Enables AI agents to write TypeScript to create, render, verify, and export parametric 3D models using Replicad/OpenCascade CAD kernel, headlessly from terminal or MCP clients.

Category
Visit Server

README

<p align="center"> <img src="logo.png" alt="ShapeItUp" width="400"> </p>

<p align="center"> <strong>Scripted CAD for AI agents and humans</strong> — write TypeScript, get CAD. </p>

<p align="center"> <a href="https://github.com/asbis/ShapeItUp/blob/master/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License: MIT"></a> <a href="https://www.npmjs.com/package/@shapeitup/mcp-server"><img src="https://img.shields.io/npm/v/@shapeitup/mcp-server.svg" alt="npm: @shapeitup/mcp-server"></a> </p>


ShapeItUp is an MCP server that turns Replicad / OpenCascade into AI-agent-grade CAD tooling. It writes, renders, verifies, and exports parametric 3D models from TypeScript .shape.ts files, headlessly — from the terminal, from Claude Code / Cursor / Claude Desktop, or from CI. A VSCode extension is available as an optional interactive viewer for humans who want to watch the renders happen live.

Install for Claude Code

claude mcp add shapeitup -- npx -y @shapeitup/mcp-server

That's it. claude mcp add registers the server in your Claude Code config so agent sessions pick it up automatically. See the Claude Code MCP docs for scoping options (-s user for all projects, -s project for just this repo).

Install for Cursor / Claude Desktop / other MCP clients

The generic MCP-config snippet:

{
  "mcpServers": {
    "shapeitup": {
      "command": "npx",
      "args": ["-y", "@shapeitup/mcp-server"]
    }
  }
}

Where to put it:

  • Cursor~/.cursor/mcp.json, or Settings → MCP → Add new server to drop it in through the UI.
  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows. Restart the app after editing.
  • Any stdio MCP client — hand it npx -y @shapeitup/mcp-server as the server command.

Node 20+ required. No native build step; everything ships as WASM.

What you get

A CAD toolkit agents can drive end to end:

  • Authoringcreate_shape, modify_shape, read_shape, list_shapes, setup_shape_project
  • Renderingrender_preview, preview_shape, get_preview (SVG-first, resvg-backed PNGs)
  • Verificationverify_shape, check_collisions, sweep_check, describe_geometry, validate_joints
  • Iterationtune_params (slider overrides), set_render_mode, toggle_dimensions
  • Exportexport_shape (STEP / STL / OBJ / 3MF)
  • stdlibholes, screws / bolts / washers / inserts, bearings, extrusions, patterns, threads, joints + assemble, printHints, and more — all importable from "shapeitup" inside any .shape.ts

Full tool list: 25 MCP tools covering the create → preview → verify → tune → export loop.

Quick example

Prompt to the agent: "I want a mounting bracket, 60×40×4 mm, four M3 through-holes in the corners." The agent calls create_shape and writes:

// bracket.shape.ts
import { drawRoundedRectangle } from "replicad";
import { holes } from "shapeitup";

export const params = { width: 60, depth: 40, thickness: 4, holeInset: 6 };

export default function main({ width, depth, thickness, holeInset }: typeof params) {
  const plate = drawRoundedRectangle(width, depth, 3)
    .sketchOnPlane("XY")
    .extrude(thickness);

  return holes.through(plate, "M3", [
    [-width/2 + holeInset, -depth/2 + holeInset, 0],
    [ width/2 - holeInset, -depth/2 + holeInset, 0],
    [-width/2 + holeInset,  depth/2 - holeInset, 0],
    [ width/2 - holeInset,  depth/2 - holeInset, 0],
  ]);
}

Then it calls render_preview and gets back a PNG it can inspect, plus bounding-box + volume metadata to sanity-check against the spec. If the user wants the holes bigger, the agent calls tune_params — no file rewrite needed.

Running in CI / containers

npx -y @shapeitup/mcp-server works anywhere Node 20 runs — Docker, GitHub Actions, GitLab CI. Renders go through @resvg/resvg-wasm; no GPU, no headless Chromium, no native graphics stack required. A cold boot on a stock Node image typically takes ~3 s for the first render (OCCT WASM compile) and < 200 ms thereafter.

VSCode extension (optional)

There is a VSCode extension that subscribes to the MCP server's event bus and shows a live Three.js viewer in the side panel — useful when you want to watch an agent work, or to drive ShapeItUp interactively. Install it from the VS Code marketplace (search for "ShapeItUp") or build from source (see Development).

The extension is entirely optional: the MCP server is headless on its own, does not require VSCode to be running, and produces the same renders whether or not a viewer is attached.

Development

git clone https://github.com/asbis/ShapeItUp.git
cd ShapeItUp
pnpm install
pnpm build          # builds extension, viewer, worker, and mcp-server
pnpm dev            # watch mode
pnpm lint           # tsc -b across packages

Then press F5 in VS Code to launch the Extension Development Host if you want to iterate on the viewer.

Project layout:

packages/
  mcp-server/   -- standalone MCP server (this is the npm package)
  core/         -- Replicad wrappers, stdlib, execution engine (bundled into mcp-server)
  shared/       -- cross-package types (bundled into mcp-server)
  extension/    -- VSCode extension (optional viewer)
  viewer/       -- Three.js viewer surface for the extension
  worker/       -- OCCT WASM web-worker for the extension viewer

See CONTRIBUTING.md for contribution guidelines.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured