kicad-mcp: Model Context Protocol server for KiCad on Mac, Windows, and Linux

by lamaalrajih · MCP Server · ★ 524

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

How to install kicad-mcp

git clone https://github.com/lamaalrajih/kicad-mcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

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. Full audit →

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.

Quick Facts

Stars524
Forks86
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score74/100
Open Issues22
Last Updated2025-10-17
Created2025-03-20
Platformsmcp, python
Est. Tokens~19k

About kicad-mcp

KiCad MCP Server This guide will help you set up a Model Context Protocol (MCP) server for KiCad. While the examples in this guide often reference Claude Desktop, the server is compatible with any MCP-compliant client. You can use it with Claude Desktop, your own custom MCP clients, or any other application that implements the Model Context Protocol.

Compatible Skills

These tools work well together with kicad-mcp for enhanced workflows:

  • investor-agent — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)
  • LovelyAIMaster — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • kicad-happy — semantic(0.29)+complementary+same_lang+shared_platform (45%)

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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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