# circuit-recognition

> Use this tool when you need to automatically extract valuable information from circuit images, such as component detection, text recognition, and topology analysis. It solves problems related to manual circuit diagram interpretation, netlist generation, and design verification. The tool takes circuit images as input and outputs detailed information about the circuit's components, layout, and connections.

Canonical page: https://skillsregistry.net/skills/hr-donk-circuit-recognition  
JSON: https://api.skillsregistry.net/v1/skills/hr-donk-circuit-recognition

## Description

MCP server for intelligent circuit diagram recognition, enabling detection of components, text, topology, and netlist from circuit images.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sb87qmmjsh)
- **Repository:** <https://github.com/HR-DONK/circuit-recognition>

## 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": "hr-donk-circuit-recognition"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hr-donk-circuit-recognition` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hr-donk-circuit-recognition/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