# KiCad MCP Server

> Use this tool when you need to quickly find and explore KiCad component symbols using natural language search, solving problems of tedious library browsing and component identification. It provides fast full-text search across 20,000+ components, including metadata like datasheets, footprints, and descriptions, and outputs relevant component information. Ideal for use during electronic design and development, when efficient component selection is crucial.

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

## Description

Enables natural language search and exploration of KiCad component symbol libraries with fast full-text search across 20,000+ components including metadata like datasheets, footprints, and descriptions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gflhckf53e)
- **Repository:** <https://github.com/skeptomai/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": "skeptomai-kicad-mcp"
    }
  }
}
```

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