# video-vision-mcp

> Use this tool when you need to analyze video content by extracting frame images and audio transcripts, or leveraging native video analysis capabilities. It solves problems related to video data extraction, transcription, and analysis, accepting local files, URLs, or Jira ticket attachments as input and producing actionable insights as output. Ideal for use cases requiring in-depth video examination, such as content moderation, media analysis, or data mining.

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

## Description

An MCP server enabling Claude Code to analyze any video (local file, URL, or Jira ticket attachment) by extracting frame images and audio transcripts, or using Gemini for native video analysis.

## Trust

- **Trust score (0–1):** 0.68
- **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/a4kjg46r0b)
- **Repository:** <https://github.com/KitDevUA/video-vision-mcp>

## 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": "kitdevua-video-vision-mcp"
    }
  }
}
```

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