# kineto

> kineto — danielfidalgo-kineto. Use this tool when you need to generate videos programmatically from declarative JSON scenes, solving problems like automated video rendering and content creation. Kineto takes JSON inputs and produces MP4 outputs, with a versatile interface that supports browser, headless native, and server-based rendering. Ideal for use cases like automated video build pipelines and dynamic content generation, where a deterministic video compiler is required.

Canonical page: https://skillsregistry.net/skills/danielfidalgo-kineto  
JSON: https://api.skillsregistry.net/v1/skills/danielfidalgo-kineto

## Description

Video as a build artifact. A deterministic video compiler: declarative JSON scenes in, MP4 out. One Rust engine, browser (wasm) and headless native, with an MCP server so agents can render their own video.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/DanielFidalgo/kineto)

## 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": "danielfidalgo-kineto"
    }
  }
}
```

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