Pollinations
A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.
What is Pollinations?
Pollinations is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol (mcp) server that enables ai assistants to generate images, text, and audio through the pollinations apis. supports customizable parameters, image saving, and multiple model opt...
A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol (MCP) server that enables AI assist
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcpollinations-multimodal-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Pollinations
MCPollinations is a multimodal MCP server that connects AI assistants to the free Pollinations.ai API, enabling generation of images, text, and audio without requiring any API key or account. It exposes tools to generate images using models like Flux and Turbo, edit existing images from URLs, synthesize audio in multiple voices, and generate text — all with configurable parameters like dimensions, temperature, and output directory. Developers and creatives use it to add no-cost generative media capabilities directly into their AI chat workflows.
Prerequisites
- Node.js 16 or higher installed (14.0.0 minimum, 16+ recommended)
- Claude Desktop or another MCP-compatible client
- No API key required — Pollinations.ai is free to use
- An output directory for saving generated files (configurable via OUTPUT_DIR)
Install the package globally or use npx
You can install MCPollinations globally with npm or run it directly via npx without a permanent install.
# Option A: run on demand (no install)
npx @pinkpixel/mcpollinations
# Option B: install globally
npm install -g @pinkpixel/mcpollinationsChoose an output directory for generated files
Decide where generated images and audio files will be saved on your machine. The directory must exist and be writable. On Windows, use an absolute path.
# macOS/Linux
mkdir -p ~/Pictures/mcpollinations
# Windows (PowerShell)
New-Item -ItemType Directory -Path "C:\Users\YourName\Pictures\MCPollinations"Configure Claude Desktop
Add the server to your Claude Desktop MCP config. Set OUTPUT_DIR to your chosen directory. All other environment variables are optional.
{
"mcpServers": {
"mcpollinations": {
"command": "npx",
"args": ["@pinkpixel/mcpollinations"],
"env": {
"OUTPUT_DIR": "/Users/yourname/Pictures/mcpollinations",
"IMAGE_MODEL": "flux",
"IMAGE_WIDTH": "1024",
"IMAGE_HEIGHT": "1024",
"IMAGE_SAFE": "true"
}
}
}
}Restart Claude Desktop
Quit and reopen Claude Desktop to load the MCPollinations server. You should see image, text, and audio generation tools become available.
Generate your first image
Ask Claude to generate an image. It will call the generateImage tool and save the result to your OUTPUT_DIR.
Pollinations Examples
Client configuration
Claude Desktop config using npx with optional environment variables to control output location and default image model.
{
"mcpServers": {
"mcpollinations": {
"command": "npx",
"args": ["@pinkpixel/mcpollinations"],
"env": {
"OUTPUT_DIR": "/Users/yourname/Pictures/mcpollinations",
"IMAGE_MODEL": "flux",
"IMAGE_WIDTH": "1024",
"IMAGE_HEIGHT": "1024",
"IMAGE_SAFE": "true",
"TEXT_MODEL": "openai",
"AUDIO_VOICE": "alloy"
}
}
}
}Prompts to try
Example prompts that exercise image generation, audio synthesis, and text generation tools.
- "Generate an image of a futuristic city at sunset using the Flux model and save it"
- "Create a 1920x1080 wallpaper of a mountain lake in autumn colors"
- "List all available image models and show me what each one specializes in"
- "Generate audio of someone saying 'Welcome to the future' using the alloy voice"
- "Edit this image URL to add a dramatic lightning storm in the background: https://example.com/landscape.jpg"Troubleshooting Pollinations
Generated images are not saved to disk
Verify OUTPUT_DIR exists and is writable. On Windows, use an absolute path like C:\Users\YourName\Pictures\MCPollinations rather than a relative path. Create the directory manually if needed.
editImage or generateImageFromReference fails with an error about the URL
Image-to-image tools require publicly accessible HTTP or HTTPS URLs. Local file paths and localhost URLs are not supported. Host your reference image on a public server or image hosting service first.
npx command hangs or takes a long time on first run
The first npx invocation downloads the package. Subsequent runs use the npm cache and start much faster. If it consistently hangs, try installing globally with 'npm install -g @pinkpixel/mcpollinations' and changing the command in your config from npx to mcpollinations.
Frequently Asked Questions about Pollinations
What is Pollinations?
Pollinations is a Model Context Protocol (MCP) server that model context protocol (mcp) server that enables ai assistants to generate images, text, and audio through the pollinations apis. supports customizable parameters, image saving, and multiple model options. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Pollinations?
Follow the installation instructions on the Pollinations GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Pollinations?
Pollinations works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Pollinations free to use?
Yes, Pollinations is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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