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Pollinations Ai Image Server
What is Pollinations Ai Image Server
The pollinations-ai-image-server is a Model Context Protocol server designed for generating images using Pollinations AI. It is built with TypeScript and showcases core MCP concepts.
Use cases
Use cases include generating artistic images for social media, creating custom illustrations for articles, and producing unique visuals for marketing campaigns.
How to use
To use the pollinations-ai-image-server, configure it with Claude Desktop by adding the server configuration to the appropriate JSON file. Once set up, you can request image generation by providing prompts to Claude.
Key features
Key features include the ability to generate images based on prompts, support for multiple image sizes (720x1280, 1280x720, 1024x1024), and automatic saving of generated images to a temporary directory.
Where to use
The pollinations-ai-image-server can be used in various fields such as digital art creation, content generation for websites, and enhancing presentations with custom visuals.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Pollinations Ai Image Server
The pollinations-ai-image-server is a Model Context Protocol server designed for generating images using Pollinations AI. It is built with TypeScript and showcases core MCP concepts.
Use cases
Use cases include generating artistic images for social media, creating custom illustrations for articles, and producing unique visuals for marketing campaigns.
How to use
To use the pollinations-ai-image-server, configure it with Claude Desktop by adding the server configuration to the appropriate JSON file. Once set up, you can request image generation by providing prompts to Claude.
Key features
Key features include the ability to generate images based on prompts, support for multiple image sizes (720x1280, 1280x720, 1024x1024), and automatic saving of generated images to a temporary directory.
Where to use
The pollinations-ai-image-server can be used in various fields such as digital art creation, content generation for websites, and enhancing presentations with custom visuals.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
pollinations-ai-image-server MCP Server
A Model Context Protocol server for generating images using Pollinations AI
This is a TypeScript-based MCP server that implements an AI image generation system. It demonstrates core MCP concepts by providing:
- Tools for generating images using Pollinations AI
- Simple integration with Claude Desktop
Features
Tools
generate_image- Generate images using Pollinations AI- Takes a prompt as required parameter
- Supports multiple image size options: 720x1280, 1280x720, 1024x1024 (default)
- Downloads and saves the generated image to a temporary directory
- Returns the file path of the saved image
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"pollinations-ai-image-server": {
"command": "/path/to/pollinations-ai-image-server/build/index.js"
}
}
}
Usage
Once configured, you can use the server with Claude Desktop by asking Claude to generate images. For example:
“Please generate an image of a sunset over mountains using the pollinations-ai-image-server.”
You can specify the image size by adding it to your request:
“Generate a portrait (720x1280) image of a cat using pollinations-ai-image-server.”
Supported image sizes:
- 720x1280 (portrait)
- 1280x720 (landscape)
- 1024x1024 (square, default)
The image will be generated using Pollinations AI with the following settings:
- Model: flux
- Seed: 42
The generated image will be saved to a temporary directory and the file path will be returned.
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










