# Universal Image Generator MCP Server

> Use this tool when you need to generate or transform images using multiple AI providers, such as Google, ZHIPU AI, or Alibaba, through a unified interface. It solves problems of limited image generation capabilities and vendor lock-in by allowing users to access various AI models through any MCP-compatible application. The server takes in text prompts or image inputs and outputs generated or transformed images, making it ideal for use cases requiring diverse and flexible image creation.

Canonical page: https://skillsregistry.net/skills/ecnu3d-universal-image-generator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ecnu3d-universal-image-generator-mcp

## Description

A multi-provider AI image generation server that allows users to create and transform images using Google (Imagen & Gemini), ZHIPU AI CogView-4, or Alibaba Bailian through any MCP-compatible application.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w4uh895pte)
- **Repository:** <https://github.com/ECNU3D/universal-image-generator-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": "ecnu3d-universal-image-generator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ecnu3d-universal-image-generator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ecnu3d-universal-image-generator-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