Autocad-MCP: AutoCAD MCP server for AI agents: 240+ tools to draw, edit and read DWG/DXF drawings

by U-C4N · MCP Server · ★ 188

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Autocad-MCP

git clone https://github.com/U-C4N/Autocad-MCP.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

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.

ai-agentsautocadautolispcadcad-automationclaudeclaude-codecursordwgdxf

Quick Facts

Stars188
Forks55
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score74/100
Open Issues1
Last Updated2026-10-27
Created2026-04-27
Platformsclaude-code, cli, mcp, python
Est. Tokens~16k

About Autocad-MCP

AutoCAD MCP Pro Production-grade AutoCAD automation for AI agents—live through COM on Windows, or headless through ezdxf on any platform. One typed MCP contract controls two execution engines. Build and edit drawings, query exact geometry, apply engineering standards, refine quality issues inside transactions, and deliver hashed artifacts with validation evidence.

Compatible Skills

These tools work well together with Autocad-MCP for enhanced workflows:

  • NatPRD — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • viral-ai-vids — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • frago — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)

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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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