About Memgen MCP Server
Memgen MCP Server generates meme images from text descriptions for users building AI-assisted image workflows. It refines the description with AI, edits a base template using OpenAI's GPT-image-1, and returns image URLs stored in MinIO.
Key features
- 01Refine meme descriptions with AI
- 02Generate images from a base template
- 03Use OpenAI's GPT-image-1
- 04Upload images to MinIO storage
Use cases
- 01Generating a meme from a text idea
- 02Creating meme images for an AI workflow
MCP support
It exposes the create_meme tool to MCP clients, accepting a text description and returning URLs for generated images.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
Memgen MCP Server
A Model Context Protocol server that generates memes from user input using OpenAI's image editing capabilities.
Overview
This server implements the Model Context Protocol (MCP) to provide meme generation functionality. It takes a text description as input, refines it using AI, and generates a meme image by editing a base template. The generated images are uploaded to MinIO S3-compatible storage and returned as URLs.
Features
- MCP-compliant server for seamless integration with MCP clients
- Prompt refinement using AI to optimize meme descriptions
- Image generation using OpenAI's GPT-image-1 model
- Automatic upload of generated images to MinIO S3 storage
Prerequisites
- Node.js >= 22.0.0
- MinIO S3-compatible storage
- OpenAI API key
Installation
-
Clone the repository:
git clone https://github.com/sint-ai/image_mcp_server.git cd image_mcp_server -
Install dependencies:
npm install -
Copy the example environment file and fill in your credentials:
cp .env.example .env -
Edit
.envwith your configuration:PORT: Server portOPENAI_API_KEY: Your OpenAI API keyMINIO_ENDPOINT: MinIO server endpointMINIO_PORT: MinIO server portMINIO_USE_SSL: Whether to use SSL for MinIO connectionMINIO_ACCESS_KEY: MinIO access keyMINIO_SECRET_KEY: MinIO secret keyMINIO_BUCKET_NAME: MinIO bucket nameMINIO_BUCKET_URL: Public URL for accessing the MinIO bucket
Usage
Start the server:
npm start
The server will start running on the configured port (default: 3000).
API Endpoints
POST /mcp: Main MCP endpoint for processing requests
MCP Tooling
This server provides the following MCP tool:
create_meme: Generates a meme from a text description- Input: String describing the desired meme
- Output: URLs to the generated images
Development
Check TypeScript types:
npm run check-types
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.