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Alternatives to pcb-mcp

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to interact with KiCAD for PCB design automation. Users can design PCBs using natural language, including component placement, routing, checks, and export.
      62 npm
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI assistants to interact with KiCAD for PCB design automation, including schematic editing, component placement, routing, DRC/ERC, and export.
      100
      11 npm
      1
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables creating and editing KiCad projects through natural language, including scaffolding projects, placing schematic symbols, wires and labels, and adding PCB footprints, tracks and nets. It also runs ERC/DRC checks and exports to PDF, SVG, netlist, BOM, STEP, DXF, gerbers and drill files via kicad-cli.
      14
      MIT
    • A
      license
      C
      quality
      D
      maintenance
      Enables LLMs to inspect, edit, analyze, and render PCB layouts in real-time using the KiCad IPC API, providing tools for board configuration, footprints, tracks, zones, nets, text, shapes, dimensions, exports, screenshots, and CLI automation.
      100
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables MCP clients such as Claude Code to work on KiCad 10 designs by driving kicad-cli for ERC, DRC, netlists and fabrication exports, KiCad's IPC API for live board editing, and lossless edits of schematic and project files. It also provides design review, routing, parts and datasheet tooling so a board can be treated as data and checked against fab limits.
      35
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to read and modify KiCAD PCB designs through the KiCAD IPC API, providing tools for board queries, footprint placement, track creation, DRC, and export.
      44
      14
      MIT