# Image Gen (Jimeng AI)

> Use this tool when you need to handle MCP requests efficiently and asynchronously, ideal for prototyping, testing, or building custom MCP-based applications. It provides a lightweight and customizable server solution, leveraging Python and libraries like aiohttp and aiofiles. The Image Gen tool offers basic MCP operations, making it suitable for developers seeking a simple and flexible foundation for their MCP implementations.

Canonical page: https://skillsregistry.net/skills/fengin-image-gen  
JSON: https://api.skillsregistry.net/v1/skills/fengin-image-gen

## Description

This MCP server, developed by an unknown author, provides a lightweight implementation for handling MCP requests. Built with Python and leveraging the aiohttp and aiofiles libraries, it offers asynchronous capabilities for efficient request processing. The server focuses on basic functionality, utilizing the fastmcp and mcp libraries for core MCP operations. It's designed for developers who need a simple, customizable MCP server solution, enabling use cases such as prototyping MCP-based applications, testing MCP integrations, or serving as a foundation for more complex MCP implementations.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-21

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fengin-image-gen)
- **Repository:** <https://github.com/fengin/image-gen-server>

## 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": "fengin-image-gen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fengin-image-gen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fengin-image-gen/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
