# Optic

> Use this tool when you need to analyze visual inputs from various camera sources, such as USB cameras, IP cameras, or screen captures, and perform tasks like object detection, image comparison, or QR/barcode decoding. Optic connects these sources to AI workflows, enabling real-time image processing and analysis, and returns metadata and results for efficient monitoring and automation. It is ideal for applications like visual testing, change detection, and automated image processing tasks.

Canonical page: https://skillsregistry.net/skills/timorleiderman-optic  
JSON: https://api.skillsregistry.net/v1/skills/timorleiderman-optic

## Description

Optic provides computer vision capabilities through camera and image processing tools. It connects USB cameras, IP cameras (RTSP/HLS), MJPEG streams, and screen capture to AI workflows, enabling image capture, analysis, comparison, object detection, QR/barcode decoding, and real-time streaming. The server follows a token-efficient design that returns metadata and analysis results rather than raw image data, making it suitable for monitoring applications, visual testing, change detection, and automated image processing tasks where agents need to interact with visual inputs from various camera sources.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/timorleiderman-optic)
- **Repository:** <https://github.com/timorleiderman/opticmcp>

## 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": "timorleiderman-optic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/timorleiderman-optic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/timorleiderman-optic/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