# remotion-vision-mcp

> Use this tool when you need to automate the evaluation of Remotion projects, as it provides agentic vision loops to discover projects, render storyboards, and capture screenshots, returning images for model evaluation. It solves problems related to automated project review and model training, accepting project inputs and outputting evaluated images. Ideal for use cases requiring efficient model evaluation and project assessment in Remotion environments.

Canonical page: https://skillsregistry.net/skills/ochen1-remotion-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ochen1-remotion-vision-mcp

## Description

Enables agentic vision loops for Remotion by providing tools to discover projects, list compositions, take screenshots, and render storyboards, returning images for model evaluation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vi6avj5eml)
- **Repository:** <https://github.com/ochen1/remotion-vision-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": "ochen1-remotion-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ochen1-remotion-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ochen1-remotion-vision-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