# mcp

> mcp — lupa-ai-labs-mcp. Use this tool when you need to generate images and videos for your AI agent, or connect clients like Claude to Lupa with a single command, streamlining your workflow and enhancing visual content creation. It solves problems of complex media generation and integration, accepting input from various clients and outputting generated media. Ideal for use cases requiring rapid and efficient visual content production, such as AI model training or multimedia applications.

Canonical page: https://skillsregistry.net/skills/lupa-ai-labs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lupa-ai-labs-mcp

## Description

Image and video generation for your AI agent. Connect Claude or any MCP client to Lupa in one command.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/lupa-ai-labs/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": "lupa-ai-labs-mcp"
    }
  }
}
```

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