oaslananka

Professional Model Context Protocol server for KiCad: project setup, schematic/PCB tooling, validation, and manufacturing exports.

10
2
100% credibility
Found Apr 17, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

KiCad MCP Pro Server enables AI assistants to automate PCB schematic design, editing, validation, and manufacturing preparation within KiCad projects.

How It Works

1
💡 Discover the AI circuit board helper

You hear about a friendly AI tool that makes designing electronics boards super easy, even if you've never done it before.

2
🚀 Get it running on your computer

With a quick download, you launch the helper that connects your board design software to smart AI thinking.

3
📁 Point it to your board project

You simply tell the helper where your circuit project folder is, and it understands everything inside.

4
Let AI create your first board

Magic happens as the AI draws wires, places parts, and builds a complete board layout just by chatting with it.

5
Check and perfect it

The helper runs smart checks and suggests easy fixes so your design is ready to go.

6
🏭 Make your manufacturing files

One click creates all the files to send to a factory for real boards.

🎉 Your custom board arrives working!

Weeks later, shiny new circuit boards show up, powering your project perfectly.

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AI-Generated Review

What is kicad-mcp-pro?

kicad-mcp-pro is a Python-based Model Context Protocol (MCP) server that connects KiCad EDA projects to AI clients like Claude, Cursor, and VS Code. It enables AI-driven workflows for project setup, schematic capture, PCB editing, DRC/ERC validation, signal/power integrity checks, and manufacturing exports like Gerbers and BOMs. Developers get a bridge to automate KiCad via stdio or HTTP, with live IPC for open boards.

Why is it gaining traction?

From a professional GitHub account with a polished README and profile, it stands out with server profiles like "pcb_only" or "manufacturing" to scope tools, quality gates that block bad exports, and KiCad 10 features like variant support. Unlike raw kicad-cli scripts, it bundles prompts for first-PCB flows and integrates seamlessly with AI IDEs—no more manual file juggling.

Who should use this?

KiCad hardware engineers prototyping PCBs with AI assistance, especially those in schematic-to-fab pipelines tired of repetitive validation and exports. Ideal for teams using Claude Desktop or Cursor for context-aware EDA, or embedding KiCad in VS Code for rapid iterations.

Verdict

Solid for early AI-KiCad experimentation—install via uvx, set your project dir, and go—but at 10 stars and 1.0% credibility, it's pre-mainstream with Azure CI and good docs. Try the "full" profile if you're building AI hardware tools; skip if you need battle-tested stability.

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