MCP Image Server

@ricardopera

リポジトリ

基本情報

カテゴリ

メディアとデザイン

トランスポート

stdio

作者

ricardopera

投稿者

Ricardo Pereira

MCP Image Server について

A TypeScript-based MCP server for generating custom images and icons using AI (GPT Image 1). It supports output formats including .png, .svg, .ico, and others. Designed for seamless integration with Vibe Coding, enabling on-demand visual asset creation for your projects.

#image-generation#icons-generation#png#ico#svg

MCP Image Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-image-server": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ricardopera/mcp-image-server@latest"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
      }
    }
  }
}

MCP Image Server のツール

Generates a custom image using AI (GPT Image 1) and delivers it in the requested format (.png, .svg, .ico).

Generates a custom favicon.ico from a textual prompt using AI (GPT Image 1).

概要

What is Mcp Image Server?

A TypeScript-based MCP server that generates custom images and icons using AI (GPT Image 1). It supports output formats including .png, .svg, .ico, and others. Designed for seamless integration with Vibe Coding, enabling on-demand visual asset creation for your projects.

How to use Mcp Image Server?

—

Key features of Mcp Image Server

AI-powered image and icon generation via GPT Image 1
Supports multiple output formats (PNG, SVG, ICO, and more)
Built in TypeScript for MCP integration
Designed for use with Vibe Coding workflows

Use cases of Mcp Image Server

Generating custom icons for applications and dashboards
Creating on-demand images during a Vibe Coding session
Producing SVG graphics programmatically through AI

よくある質問

What AI model does Mcp Image Server use?

It uses GPT Image 1 for image generation.

What file formats can it output?

It supports .png, .svg, .ico, and other formats.

What is Vibe Coding?

Vibe Coding is the development workflow the server is designed to integrate with, as mentioned in the README. No further details are provided.

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