# Rostro

> Use this tool when you need to extend the capabilities of a language model to generate multimedia content, such as images, music, and videos, with minimal integration effort. Rostro solves the problem of limited modality support in language models, enabling them to produce a wide range of multimedia outputs. It takes language inputs and produces corresponding multimedia outputs, making it ideal for use cases that require dynamic content generation.

Canonical page: https://skillsregistry.net/skills/rostro  
JSON: https://api.skillsregistry.net/v1/skills/rostro

## Description

Turn any language model into a multimodal powerhouse that can generate images, music, videos, 3D models and more on the fly. Rostro's slim tooling is designed to be used by language models from the ground up, expanding capabilities with minimal context bloat.

## 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:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rostro)

## 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": "rostro"
    }
  }
}
```

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