mcp-server-openai-image-generator

mcp-server-openai-image-generator

Generates images from text prompts using OpenAI's API, saves them locally, and serves them via an integrated HTTP static file server.

Category
Visit Server

README

mcp-server-openai-image-generator

An MCP (Model Context Protocol) server that exposes an OpenAI image generation tool over HTTP. It generates images from text prompts, saves them locally, and serves them via an integrated static file server.

Stack

  • Runtime / Language: Bun + TypeScript
  • MCP Transport: HTTP — standard JSON responses (POST /mcp)
  • Image generation: OpenAI Images API (gpt-image-2 by default)
  • CORS: Access-Control-Allow-Origin: * on all routes

Prerequisites

  • Bun >= 1.0
  • An OpenAI API key with access to the Images API

Installation

bun install

Configuration

Edit config.json at the project root:

{
  "port": 1980,
  "model": "gpt-image-2",
  "size": "1024x1536",
  "quality": "low",
  "imagesDir": "images"
}
Field Description Default
port HTTP server listening port 1980
model OpenAI image model "gpt-image-2"
size Generated image dimensions "1024x1536"
quality Image quality ("low", "medium", "high") "low"
imagesDir Directory where generated images are stored "images"

The imagesDir directory is created automatically if it does not exist.

API Key

Provide your OpenAI key via the environment variable:

export OPENAI_API_KEY=sk-...

Usage

# production
bun run start

# development (watch mode)
bun run dev

The server starts on the configured port (default: http://localhost:1980).

MCP Tool: generate_image

Request

POST /mcp with a JSON-RPC 2.0 body:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "generate_image",
    "arguments": {
      "description": "A futuristic city at sunset, digital art"
    }
  }
}

Response

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "url": "http://localhost:1980/images/1720000000000.png",
    "filename": "1720000000000.png",
    "model": "gpt-image-2",
    "size": "1024x1536",
    "prompt": "A futuristic city at sunset, digital art"
  }
}

Generated images are saved as <timestamp>.png in imagesDir and immediately accessible at GET /images/:filename.

Project Structure

src/
  index.ts          # Entry point — loads config, starts server
  server.ts         # Bun HTTP server, routes requests
  mcpHandler.ts     # JSON-RPC 2.0 MCP handler
  imageGenerator.ts # OpenAI Images API integration
  staticHandler.ts  # Static file serving for generated images
  config.ts         # Config loading from config.json
  types.ts          # Shared TypeScript types
config.json         # Server configuration
images/             # Generated images (auto-created)

License

Private — all rights reserved.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured