# vidin

> vidin — teunlao-vidin. Use this tool when you need to analyze and understand video content, converting videos into annotated keyframes and timeline reports for further inspection. It solves problems related to video analysis, such as extracting meaningful information and identifying specific events or patterns. The tool takes video inputs and outputs annotated keyframes and timeline reports, ideal for use cases where coding agents require detailed video analysis.

Canonical page: https://skillsregistry.net/skills/teunlao-vidin  
JSON: https://api.skillsregistry.net/v1/skills/teunlao-vidin

## Description

MCP server that converts videos into annotated keyframes and timeline reports for coding agents, with tools to analyze, inspect frames, and zoom into clips.

## 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/kc5vgcp5q1)
- **Repository:** <https://github.com/teunlao/vidin>

## 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": "teunlao-vidin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teunlao-vidin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teunlao-vidin/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