Pcb Design Python Packages

kicad-mcp-pro

MCP server for KiCad, connecting AI agents to schematic and PCB workflows, ERC/DRC validation, DFM checks, BOM analysis, and manufacturing preparation—with controlled edits and human-gated release workflows.

mcp-server-kicad

KiCad MCP server: 100+ Model Context Protocol tools that let an AI assistant do schematic capture and PCB layout. Place parts, route traces, run ERC and DRC, export Gerbers, BOM, and 3D models.

jlc2kicadlib

JLC2KICAD_lib is a python script that generate a component library (schematic, footprint and 3D model ) for KiCad from the JLCPCB/easyEDA library.

akcli-kicad

AI-native schematic design agent, purpose-built for KiCad (zero-dependency pure-stdlib Python CLI): author and edit .kicad_sch from JSON op-lists with net-diff safety rails, run ERC/design/intent/BOM checks, simulate on KiCad's bundled ngspice, source real parts and fetch datasheets, and import Altium .SchDoc/.SchLib/.PcbDoc read-only into KiCad

svg2mod

Convert Inkscape SVG drawings to KiCad footprint modules

gerbolyze

Directly render SVG overlays into Gerber and Excellon files

helix-grounding

Catch the numbers an AI made up, without asking another AI

freeroute

Advanced PCB auto-router

svg-flatten-wasi

Directly render SVG overlays into Gerber and Excellon files

kicad-callouts

Generate annotated images of a kicad pcb

antenna-cad

Design compiler for antenna and phased-array PCBs: YAML spec in, synthesized layout, KiCad DRC, and openEMS full-wave verification out. Deterministic Python core, agent-ready via MCP.

zaptrace-eda

AI-native, verification-first EDA kernel for prompt-to-fab electronics: compile design intent into schematics, ERC, placement, routing, DRC, BOM, manufacturing outputs, and auditable proof packs.

kivar

PCB Assembly Variants for KiCad

kicad-parts-placer

Auto place components into pcbnew from a centroid file. Useful for maintaining a common board form factor.

pyodbdesignlib

A free open source cross-platform C++ library for parsing ODB++ Design archives, accessing their data, and building net list product models. Exposed via a REST and gRPC API packaged inside of a Docker image, ready for deployment onto k8s clusters.