# Unreel

> Use this tool when you need to automate video content creation from text-based scripts or descriptions, simplifying the visual storytelling process and saving time on content production. It takes natural language inputs and generates high-quality video outputs, allowing for easy monitoring and management of multiple video projects. Ideal for streamlining content creation workflows and producing engaging videos efficiently.

Canonical page: https://skillsregistry.net/skills/lekt9-unreel-ai  
JSON: https://api.skillsregistry.net/v1/skills/lekt9-unreel-ai

## Description

Create high-quality videos directly from natural language scripts and text descriptions. Monitor the status of generation tasks and manage a complete list of your video projects. Simplify content production by automating the visual storytelling process.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/lekt9/unreel-ai)

## 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": "lekt9-unreel-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lekt9-unreel-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lekt9-unreel-ai/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