AI-assisted PCB design for KiCAD 10. Native KiCAD plugin — a single Rust binary exposing 171 schematic, layout, routing, design-review, and manufacturing tools to Claude, or the LLM of your choosing
README
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<div align="center"> <img src="resources/images/KiCAD-MCP-Server-rust.svg" alt="KiCAD-MCP-Server Logo" height="240" />AI-assisted PCB design for KiCAD 10. Konnect is a native KiCAD plugin — a single Rust binary — that lets Claude and other AI assistants design schematics and PCBs through the Model Context Protocol (MCP).
187 tools across 18 on-demand toolsets. Schematic capture, PCB layout and routing, ERC/DRC, design-review audits, JLCPCB part search, Freerouting, reference circuits, and a full manufacturing export pipeline — with bundled skills and agents that teach Claude KiCAD conventions out of the box.
Status: beta. The core toolchain is tested and working, but this is a young release and it wants real-world mileage and review. Issues and PRs are welcome — see CONTRIBUTING.md and the naming conventions.
Konnect is the successor to KiCAD-MCP-Server, a Python/TypeScript project that proved AI-driven PCB design works — and, in the process, showed exactly where that architecture runs out of road. Konnect was built to fix those specific problems:
The call path was too long. In the original server, a single tool call travels through TypeScript, schema validation, a spawned Python subprocess, JSON over stdin/stdout, a command router, and finally SWIG-generated C++ proxy objects before anything touches your board. That's four language and serialization boundaries, each with its own failure modes — subprocess lifecycle management, stdout parsing that filters out warnings KiCAD leaks into the stream, chunked-JSON reassembly. In Konnect, a tool call is a function call. One process, one language, no plumbing.
The dependency surface was enormous. Running the original means carrying Node.js and its npm tree, Python and its pip packa