No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by mixelpixx · MCP Server · ★ 2.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is KiCAD-MCP-Server safe to install? View the security audit →
Discussions. Get in here. https://github.com/mixelpixx/KiCAD-MCP-Server/discussions/73 KiCAD MCP Server A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with KiCAD for PCB design automation. Built on the MCP 2025-06-18 specification, this server provides comprehensive tool schemas and real-time project state access for intelligent PCB design workflows. Overview The Model Context Protocol is an open standard from Anthropic that allows AI assistants to securely connect to external tools and data sources. This implementation provides a standardized bridge between AI assistants and KiCAD, enabling natural language control of PCB design operations.
| Stars | 2,534 |
| Forks | 347 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.1945024351456/100 |
| Open Issues | 12 |
| Last Updated | 2026-10-01 |
| Created | 2025-04-26 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~23k |
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KiCAD-MCP-Server is KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.. It is categorized as a MCP Server with 2.5k GitHub stars.
KiCAD-MCP-Server is primarily written in Python.
You can find installation instructions and usage details in the KiCAD-MCP-Server GitHub repository at github.com/mixelpixx/KiCAD-MCP-Server. The project has 2.5k stars and 347 forks, indicating an active community.
KiCAD-MCP-Server is released under the MIT license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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.
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