build123d-mcp MCP Server
pzfreo/build123d-mcp
[](https://agentrank-ai.com/tool/pzfreo--build123d-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) MCP server for build123d to improve AI cognition when creating 3D CAD models
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
pzfreo/build123d-mcp is a Python MCP server licensed under Apache-2.0. MCP server for build123d to improve AI cognition when creating 3D CAD models Topics: ai-tools, build123d, cad, mcp, mcp-server, python3.
Ranked #2573 out of 24846 indexed tools.
Has 10 contributors.
Ecosystem
Score Breakdown
112 stars → growing community
Last commit 1mo ago → moderate activity
141/201 issues closed → decent issue management
10 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# build123d-mcp Give your AI CAD eyes. build123d-mcp is not a standalone chatbot or CAD program. It is a CAD toolbox that an AI/LLM app can use through MCP. With an LLM app such as Claude, Cursor, VS Code, Continue, Cline, or Codex CLI, build123d-mcp lets the assistant create build123d CAD models, render previews, measure geometry, fix mistakes, and export files such as STEP, STL, SVG, and DXF. Instead of writing a whole CAD script blindly, the assistant can build a part in small steps and check the result as it goes. On the public [CADGenBench](https://huggingface.co/spaces/HuggingAI4Engineering/CADGenBench) leaderboard in June 2026, using build123d-mcp raised the same model's score from 0.360 to 0.457 and CAD validity from 88% to 100%. ## Pick Your Setup Most users should start with the local MCP server setup: - You use Claude, Cursor, VS Code, Continue, Cline, or Codex CLI on your own machine. - Your AI app starts `build123d-mcp` as a local subprocess. - You do not need toRead full README on GitHub →
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