# mcp-video-frames

> mcp-video-frames — azzy-h-mcp-video-frames. Use this tool when you need to analyze video content using image-only models, as it extracts frames with timecodes and provides measurable video properties. It solves the problem of limited model capabilities by enabling image-based analysis of video data. The tool takes video input and outputs frames with timecodes and video properties, making it ideal for use cases that require detailed video analysis.

Canonical page: https://skillsregistry.net/skills/azzy-h-mcp-video-frames  
JSON: https://api.skillsregistry.net/v1/skills/azzy-h-mcp-video-frames

## Description

MCP server that lets image-only models look at video: frames with timecodes, plus measurable video properties.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Azzy-H/mcp-video-frames)

## 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": "azzy-h-mcp-video-frames"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azzy-h-mcp-video-frames` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azzy-h-mcp-video-frames/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