Skip to main content
Glama
Sign In
enesjakozh

MCPollinations Multimodal MCP Server

by pinkpixel-dev
Verified
npmGitHub
JavaScript
MIT License
325
4
  • Linux
  • Apple
RedditDiscord
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

local-only server

The server can only run on the client’s local machine because it depends on local resources.

Integrations

  • Used as the default model for image generation within the MCP server, enabling high-quality image creation from text prompts.

  • Runtime environment required to run the MCP server, with version 14.0.0 or higher needed (16.0.0+ recommended for best performance).

MCPollinations Multimodal MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs

Features

  • Generate image URLs from text prompts
  • Generate images and return them as base64-encoded data AND save as png, jpeg, jpg, or webp (default: png)
  • Generate text responses from text prompts
  • Generate audio responses from text prompts
  • List available image and text generation models
  • No authentication required
  • Simple and lightweight
  • Compatible with the Model Context Protocol (MCP)

System Requirements

  • Node.js: Version 14.0.0 or higher
    • For best performance, we recommend Node.js 16.0.0 or higher
    • Node.js versions below 16 use an AbortController polyfill

Quick Start

Installing via Smithery

To install mcpollinations for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @pinkpixel-dev/mcpollinations --client claude

The easiest way to use the MCP server:

# Run directly with npx (no installation required) npx @pinkpixel/mcpollinations

If you prefer to install it globally:

# Install globally npm install -g @pinkpixel/mcpollinations # Run the server mcpollinations # or npx @pinkpixel/mcpollinations

Or clone the repository:

# Clone the git repository git clone https://github.com/pinkpixel-dev/mcpollinations.git # Run the server mcpollinations # or npx @pinkpixel/mcpollinations # or run directly node /path/to/MCPollinations/pollinations-mcp-server.js

MCP Integration

To integrate the server with applications that support the Model Context Protocol (MCP):

  1. Generate an MCP configuration file:
# If installed globally npx @pinkpixel/mcpollinations generate-config # Or run directly node /path/to/MCPollinations/generate-mcp-config.js
  1. Follow the prompts to customize your configuration or use the defaults.
    • Set custom output and temporary directories (defaults to relative paths for portability)
    • Configure default parameters for image generation (with a list of available models, dimensions, etc.)
    • Configure default parameters for text generation (with a list of available models)
    • Configure default parameters for audio generation (voice)
    • Specify which tools should be allowed
  2. Copy the generated mcp.json file to your application's MCP settings .json file.
  3. Restart your application.

After integration, you can use commands like:

"Generate an image of a sunset over the ocean using MCPollinations"

Troubleshooting

"AbortController is not defined" Error

If you encounter this error when running the MCP server:

ReferenceError: AbortController is not defined

This is usually caused by running on an older version of Node.js (below version 16.0.0). Try one of these solutions:

  1. Update Node.js (recommended):
    • Update to Node.js 16.0.0 or newer
  2. Use Global Installation
    • Update to the latest version of the package:
    npm install -g @pinkpixel/mcpollinations # Run with npx npx @pinkpixel/mcpollinations
  3. Install AbortController manually:
    • If for some reason the polyfill doesn't work:
    npm install node-abort-controller

Check Your Node.js Version

To check your current Node.js version:

node --version

If it shows a version lower than 16.0.0, consider upgrading for best compatibility.

Available Tools

The MCP server provides the following tools:

  1. generateImageUrl - Generates an image URL from a text prompt
  2. generateImage - Generates an image, returns it as base64-encoded data, and saves it to a file by default (PNG format)
  3. respondAudio - Generates an audio response to a text prompt (customizable voice parameter)
  4. respondText - Responds with text to a prompt using text models (customizable model parameter)
  5. listImageModels - Lists available models for image generation
  6. listTextModels - Lists available models for text generation
  7. listAudioVoices - Lists all available voices for audio generation

Image Generation Details

Default Behavior

When using the generateImage tool:

  • Images are saved to disk by default as PNG files
  • The default save location is the current working directory where the MCP server is running
  • The 'flux' model is used by default
  • A random seed is generated by default for each image (ensuring variety)
  • Base64-encoded image data is always returned, regardless of whether the image is saved to a file

Customizing Image Generation

// Example options for generateImage const options = { // Model selection (defaults to 'flux') model: "flux", // Image dimensions width: 1024, height: 1024, // Generation options seed: 12345, // Specific seed for reproducibility (defaults to random) enhance: true, // Enhance the prompt using an LLM before generating (defaults to true) safe: false, // Content filtering (defaults to false) // File saving options saveToFile: true, // Set to false to skip saving to disk outputPath: "/path/to/save/directory", // Custom save location fileName: "my_custom_name", // Without extension format: "png" // png, jpeg, jpg, or webp };

Where Images Are Saved

When using Claude or another application with the MCP server:

  1. Images are saved in the current working directory of where the MCP server is running, not where Claude or the client application is installed.
  2. If you start the MCP server manually from a specific directory, images will be saved there by default.
  3. If Claude Desktop launches the MCP server automatically, images will be saved in Claude Desktop's working directory (typically in an application data folder).

Finding Your Generated Images

  • The response from Claude after generating an image includes the full file path where the image was saved
  • You can specify a familiar location using the outputPath parameter
  • Best practice: Ask Claude to save images to an easily accessible folder like your Pictures or Downloads directory

Unique Filenames

The MCP server ensures that generated images always have unique filenames and will never overwrite existing files:

  1. Default filenames include:
    • A sanitized version of the prompt (first 20 characters)
    • A timestamp
    • A random suffix
  2. Custom filenames are also protected:
    • If you specify a filename and a file with that name already exists, a numeric suffix will be added automatically
    • For example: sunset.png, sunset_1.png, sunset_2.png, etc.

This means you can safely generate multiple images with the same prompt or filename without worrying about overwriting previous images.

Accessing Base64 Data

Even when saving to a file, the base64-encoded image data is always returned and can be used for:

  • Embedding in web pages (<img src="data:image/png;base64,..." />)
  • Passing to other services or APIs
  • Processing in memory without filesystem operations
  • Displaying in applications that support data URIs

For Developers

If you want to use the package in your own projects:

# Install as a dependency npm install @pinkpixel/mcpollinations # Import in your code import { generateImageUrl, generateImage, repsondText, respondAudio, listTextModels, listImageModels, listAudioVoices } from '@pinkpixel/mcpollinations';

You must be authenticated.

A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Tools

A Model Context Protocol server that enables AI assistants to generate images, text, and audio through the Pollinations APIs without requiring authentication.

  1. Features
    1. System Requirements
      1. Quick Start
        1. Installing via Smithery
      2. MCP Integration
        1. Troubleshooting
          1. "AbortController is not defined" Error
          2. Check Your Node.js Version
        2. Available Tools
          1. Image Generation Details
            1. Default Behavior
            2. Customizing Image Generation
            3. Where Images Are Saved
            4. Finding Your Generated Images
            5. Unique Filenames
            6. Accessing Base64 Data
          2. For Developers

            Related Resources

            ID: 8oz8ip3g3o