# KiCad MCP Server

> Use this tool when you need to analyze and understand complex electronic schematics in KiCad through natural language queries. It solves problems such as searching for specific components, tracing signal paths, and exploring connections, providing outputs in a human-readable format. Ideal for use in contexts where quick and intuitive analysis of electronic designs is required, such as debugging, verification, or optimization of multi-board systems.

Canonical page: https://skillsregistry.net/skills/bleugreen-kicad-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bleugreen-kicad-mcp

## Description

Enables analysis of KiCad electronic schematics through natural language queries to search components, trace signal paths, explore connections, and analyze multi-board systems.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/op1g1o19m0)
- **Repository:** <https://github.com/bleugreen/kicad-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": "bleugreen-kicad-mcp"
    }
  }
}
```

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

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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