fusion360-claude-ultimate: Control Fusion 360 with natural language through Claude Desktop using MCP (Model Context Protocol)

by Misterbra · MCP Server · ★ 55

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Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

3d-aiauto-autodesk-aifusion360aimcp-fusion360

Quick Facts

Stars55
Forks18
LanguagePython
CategoryMCP Server
Quality Score70/100
Last Updated2026-04-20
Created2025-08-02
Platformsclaude-code, mcp, python
Est. Tokens~153k

About fusion360-claude-ultimate

Fusion 360 MCP Server A Model Context Protocol (MCP) server that enables Claude Desktop to control Autodesk Fusion 360 through natural language commands. Create, manipulate, and query 3D objects in Fusion 360 by simply describing what you want to do. Inspiration: This project is inspired by and adapted from the work of Kanbara Tomonori, Autodesk certified Fusion 360 Expert Elite.

Compatible Skills

These tools work well together with fusion360-claude-ultimate for enhanced workflows:

  • cad-skill — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
  • bambu-studio-ai — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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