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 oaslananka · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is kicad-mcp-pro safe to install? View the security audit →
KiCad MCP Pro Server AI-powered PCB and schematic design with KiCad. Works with Claude, Cursor, VS Code, Claude Code, and any MCP-compatible client. The personal GitHub repository is the main public source. Automated GitHub CI/CD runs from the organization mirror; Azure DevOps, GitLab, and personal GitHub workflows stay manually triggered. What's New in 2.4 KiCad 10 parity improved for variants, graphical DRC, time-domain routing, 3D PDF export, and schematic hop-over control. High-speed review flow now covers time-domain tuning, via-stub resonance warnings, thermal via sizing, and EMC return-path sweeps. MCP surface expanded with n
| Stars | 58 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.4945417324647/100 |
| Open Issues | 10 |
| Last Updated | 2026-08-25 |
| Created | 2026-05-31 |
| Platforms | claude-code, docker, mcp, python |
| Est. Tokens | ~19k |
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kicad-mcp-pro is AI-ready MCP server for KiCad: automate schematic, PCB, ERC/DRC, DFM, BOM and manufacturing review from Claude, Cursor, Copilot and other AI agents.. It is categorized as a MCP Server with 58 GitHub stars.
kicad-mcp-pro is primarily written in Python. It covers topics such as ai-agent, bom, claude.
You can find installation instructions and usage details in the kicad-mcp-pro GitHub repository at github.com/oaslananka/kicad-mcp-pro. The project has 58 stars and 9 forks, indicating an active community.
kicad-mcp-pro is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to kicad-mcp-pro on Agent Skills Hub include notion-mcp-server, vivado-mcp, youtube-connector-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.