# Beatra

> Beatra — ai-beatra-beatra. Use this tool when you need to access a vast repository of multimedia and social data to train or enhance AI models. Beatra provides a wide range of inputs, including images, videos, music, speech, and public social data, to solve problems related to machine learning, data analysis, and AI development. It is ideal for use cases where diverse and extensive datasets are required to improve AI agent performance and accuracy.

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

## Description

Images, video, music, speech, and public social data for AI agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.8.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-20

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.beatra%2Fbeatra)

## Use it

MCP endpoint published by the skill: `https://mcp.beatra.ai/mcp`

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": "ai-beatra-beatra"
    }
  }
}
```

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