# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

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Resources for ML / AI or Hardware engineering, Tagged `kicad`: 4 items.

> - ML / AI: Model training, evaluation and LLM application development.
> - Hardware engineering: Part and assembly modeling, schematics and PCB review, simulation, and BOM and production files.

- [KiCAD MCP Server](https://hebbmind.com/mcp/kicad-mcp-server.md): [MCP] Lets agents work in KiCad directly: draw schematics, place components and route boards (with Freerouting autorouting), create footprints and symbols, and search the JLCPCB parts library. Needs KiCad 9+, Node.js 18+ and Python; clone and build the repo, then register it.
- [kicad-happy](https://hebbmind.com/skill/kicad-happy.md): [Skill] KiCad design review skills: parse schematics, PCBs and Gerbers, trace the power tree, catch common mistakes, run SPICE simulation and EMC pre-checks, and tidy the BOM. Needs Python 3.10+; simulation needs ngspice; DigiKey needs API credentials. EMC pre-checks don't replace certification.
- [KiCad MCP Server (lamaalrajih)](https://hebbmind.com/mcp/kicad-mcp.md): [MCP] Explore and analyze local KiCad projects in natural language: inspect schematic connections, export BOMs, run DRC checks, render PCB previews and recognize common circuit patterns. Needs KiCad 9+, Python 3.10 and uv; clone and install, set your project directory in .env, then register it.
- [Seeed Studio KiCad MCP Server](https://hebbmind.com/mcp/seeed-studio-kicad-mcp-server.md): [MCP] KiCad assistant maintained by hardware maker Seeed Studio: analyzes schematics and PCBs, traces connections pin by pin, runs ERC/DRC headlessly, generates device trees and hardware test code, and downloads footprints. Needs KiCad 8+ (9 or 10 recommended) and Python.