openscad-mcp-server
Renders PNG previews and STL geometry from OpenSCAD source code, enabling iterative agent-driven CAD workflows.
README
OpenSCAD MCP Server
An MCP (Model Context Protocol) server that renders PNG previews and STL geometry from OpenSCAD (SCAD) source code. It is designed to support iterative, agent-driven CAD workflows, where models can be previewed visually and exported for downstream use (e.g. fabrication, simulation, or inspection).
⚠️ Beta
This MCP server is currently in beta. Performance, APIs, and capabilities may change. Issues and contributions are welcome.
Use cases
-
Iterative agent-driven modeling
Agents generate or modify OpenSCAD source, render PNG previews to evaluate shape and proportions, and refine the model across multiple turns. -
Geometry artifact generation within MCP contexts
Agents export STL files as concrete geometry artifacts that can be passed to downstream tools, stored, inspected, or handed off to other MCP-enabled systems. -
Visual grounding for parametric design
PNG previews provide visual grounding for parametric or programmatic SCAD code, reducing hallucination and enabling agents to reason about spatial changes. -
Design validation and comparison
Agents can render multiple variants of a model (e.g. parameter sweeps) and visually compare results before deciding which geometry to persist or export.
Available Tools
render_scad_png: Renders a PNG preview image from SCAD source.- Input:
scadCode(string), optionalwidth/height(numbers), optionalcameraPresetand optionalcameraPositioncameraPreset: one ofisometric,front,back,left,right,top,bottomcameraPosition:{ x, y, z }
- Output: MCP
ImageContent
- Input:
export_scad_stl: Exports an STL generated from SCAD source.- Input:
scadCode(string), optionalfilename(string) - Output: MCP embedded resource (STL)
- Input:
Skill
This repository also includes an OpenSCAD iterative modeling skill that demonstrates how to use this MCP server to support an iterative SCAD → PNG → critique → refine loop.
Limitations
- Performance: Rendering complex SCAD models can be slow, especially in a WASM environment.
- Feature support: Not all OpenSCAD features may be fully supported or may have limitations in the WASM version.
- Fonts: Text rendering is not currently supported. Support is planned for a future release.
Installation
The published package is intended to run over stdio. Configure it in your MCP client using npx:
{
"mcpServers": {
"openscad": {
"command": "npx",
"args": ["-y", "openscad-mcp-server"]
}
}
}
Using the Skill
Agents skills are a simple, open format for giving agents new capabilities and expertise.
The most straightforward to use the OpenSCAD iterative modeling skill is to install it using the skills CLI:
npx skills add fboldo/openscad-mcp-server --skill openscad-iterative-modeling
Local development
- Install deps:
bun install - Stdio (matches how clients run it):
bun index.ts --stdio - HTTP (useful for manual testing):
bun index.ts- Port:
MCP_PORT(default3000) - Endpoints:
GET /health, MCP atPOST /mcp
- Port:
- MCP Inspector:
bun run dev
Similar Projects
-
jhacksman/OpenSCAD-MCP-Server This project provides a different approach relying on generating images from user prompts, followed by 3D reconstruction and even 3D printer discovery. It's a very interesting project, and I recommend checking it out if you are interested in OpenSCAD and MCP servers.
-
petrijr/openscad-mcp Similar to this project, but it uses a Python-based server and relies on the OpenSCAD CLI for rendering.
Relevant Links
License
MIT — see LICENSE.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.