# OpticMCP

> Use this tool when you need to integrate camera functionality into AI applications, such as capturing images or video frames for processing with Large Language Models (LLMs). OpticMCP provides a simple interface for listing available cameras, capturing images, and saving frames to disk. It solves problems related to computer vision and image processing, allowing AI assistants to interact with visual data from USB cameras.

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

## Description

Provides camera and vision tools for AI assistants to list available cameras, capture images from USB cameras, and save frames to disk for use with LLMs.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i9n1gbcjwc)
- **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-opticmcp"
    }
  }
}
```

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