# io.github.bunnyf/kicad-mcp-server

> Use this tool when you need to streamline PCB design with AI assistance in KiCad 9.x, solving challenges such as automated component placement and optimization. It provides an interface for inputting design requirements and outputs optimized PCB layouts, leveraging AI capabilities to enhance design efficiency. Ideal for use in complex PCB design projects where manual placement is time-consuming or error-prone.

Canonical page: https://skillsregistry.net/skills/io-github-bunnyf-kicad-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-bunnyf-kicad-mcp-server

## Description

MCP server for AI-assisted PCB design with KiCad 9.x

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 3.5.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.bunnyf%2Fkicad-mcp-server)
- **Repository:** <https://github.com/bunnyf/pcb-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-bunnyf-kicad-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-bunnyf-kicad-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-bunnyf-kicad-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt