# Video Intelligence MCP

> Video Intelligence MCP — dugbotek-video-intelligence-mcp. Use this tool when you need to analyze video content and break down its production elements, such as shots, visual design, and audio components. It solves problems related to video analysis, providing detailed timestamped breakdowns and supporting follow-up Q&A sessions. The tool takes public video URLs as input and returns comprehensive production analysis outputs, making it ideal for AI clients like Codex, Claude Code, and Kimi Code.

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

## Description

Enables AI clients like Codex, Claude Code, and Kimi Code to analyze public video URLs by downloading media, uploading it to Gemini, and returning timestamped production breakdowns covering shots, visual design, animation, motion, narration, music, sound effects, and editing, with follow-up Q&A and session management tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a21xfc5hkd)
- **Repository:** <https://github.com/DugboTek/video-intelligence-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": "dugbotek-video-intelligence-mcp"
    }
  }
}
```

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