# imagine-mcp

> imagine-mcp — n24q02m-imagine-mcp. Use this tool when you need to generate or understand images and videos using AI models from Gemini, OpenAI, and Grok, with capabilities for leaderboard-ranked model selection and weekly refreshed data. It takes in image or video inputs and outputs generated or analyzed multimedia content. Ideal for applications requiring automated multimedia generation or analysis, such as content creation or data analysis tasks.

Canonical page: https://skillsregistry.net/skills/n24q02m-imagine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/n24q02m-imagine-mcp

## Description

Image and video understanding + generation for AI agents -- across Gemini, OpenAI, and Grok.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/n24q02m/imagine-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": "n24q02m-imagine-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/n24q02m-imagine-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/n24q02m-imagine-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