# mcp-video

> Use this tool when you need to analyze video content using Large Language Models (LLMs) by extracting frames as base64 images and retrieving video metadata. It solves problems related to video content analysis, such as object detection, scene understanding, and metadata extraction. The tool takes video files as input and outputs base64 images and video metadata, making it ideal for applications that require video analysis, such as content moderation, video summarization, and media research.

Canonical page: https://skillsregistry.net/skills/vmram95-mcp-video  
JSON: https://api.skillsregistry.net/v1/skills/vmram95-mcp-video

## Description

An MCP server that enables LLMs to analyze video content by extracting frames as base64 images and retrieving video metadata using ffmpeg.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g87lumts3j)
- **Repository:** <https://github.com/VMRam95/mcp-video>

## 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": "vmram95-mcp-video"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vmram95-mcp-video` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vmram95-mcp-video/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