# VZT Video-Intel

> Use this tool when you need to analyze and search large video libraries efficiently. It solves the problem of manually processing videos by converting them into structured JSON scene graphs, enabling AI assistants to query and cite specific scenes. The tool takes video files as input and outputs queryable JSON data, ideal for use cases where video content needs to be quickly searched and analyzed.

Canonical page: https://skillsregistry.net/skills/vonzelle-vzt-vzt-video-intel  
JSON: https://api.skillsregistry.net/v1/skills/vonzelle-vzt-vzt-video-intel

## Description

Self-hosted video intelligence pipeline that turns video into structured, citable, queryable JSON scene graphs, enabling AI assistants to analyze and search across video libraries without re-processing.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kdco7elpsy)
- **Repository:** <https://github.com/vonzelle-vzt/vzt-video-intel>

## 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": "vonzelle-vzt-vzt-video-intel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vonzelle-vzt-vzt-video-intel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vonzelle-vzt-vzt-video-intel/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