# mcp

> mcp — empiriolabs-ai-mcp. Use this tool when you need to leverage a wide range of AI models and media generation capabilities to automate tasks, process batch jobs, or utilize web search functionality. It provides access to over 180 AI models, GPU Cloud, and hosted agents, with interfaces for git integration and batch job submissions. Ideal for complex AI-driven projects, data processing, and media generation tasks that require scalable and flexible solutions.

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

## Description

EmpirioLabs AI remote MCP server: 180+ AI models, media generation, web search, batch jobs, GPU Cloud and hosted agents as tools

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/EmpirioLabs-AI/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": "empiriolabs-ai-mcp"
    }
  }
}
```

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