MCPollinations Multimodal MCP Server

@pinkpixel-dev

Basic information

About MCPollinations Multimodal MCP Server

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.

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MCPollinations Multimodal MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcpollinations": {
      "command": "npx",
      "args": [
        "-y",
        "@pinkpixel/mcpollinations"
      ],
      "resources": {
        "output_dir": "./mcpollinations-output"
      },
      "default_params": {
        "image": {
          "model": "flux",
          "width": 1024,
          "height": 1024,
          "safe": false,
          "enhance": true
        },
        "text": {
          "model": "openai"
        },
        "audio": {
          "voice": "alloy"
        }
      }
    }
  }
}

MCPollinations Multimodal MCP Server tools

Generate an image URL from a text prompt. User-configured settings in MCP config will be used as defaults unless specifically overridden.

Generate an image, return the base64-encoded data, and save to a file by default. User-configured settings in MCP config will be used as defaults unless specifically overridden.

Edit or modify an existing image based on a text prompt. User-configured settings in MCP config will be used as defaults unless specifically overridden.

Generate a new image using an existing image as reference. User-configured settings in MCP config will be used as defaults unless specifically overridden.

List available image models

Generate an audio response to a text prompt and play it through the system

List all available audio voices for text-to-speech generation

Respond with text to a prompt using the Pollinations Text API. User-configured settings in MCP config will be used as defaults unless specifically overridden.

List available text models

Overview

What is MCPollinations Multimodal MCP Server?

MCPollinations Multimodal MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. It requires no authentication for the free tier and is designed for developers integrating generative AI into MCP-compatible applications.

How to use MCPollinations Multimodal MCP Server?

Run directly with npx @pinkpixel/mcpollinations, install globally with npm install -g @pinkpixel/mcpollinations, or clone from GitHub. Generate an MCP configuration file with npx @pinkpixel/mcpollinations generate-config, then copy the generated mcp.json into your MCP client’s settings and restart. Optional authentication can be set via environment variables or the env block in the MCP config.

Key features of MCPollinations Multimodal MCP Server

Generate image URLs or base64-encoded images saved as PNG/JPEG/WEBP
Generate text responses with configurable model, temperature, and top_p
Generate audio responses from text prompts
Edit existing images or create variations from reference images
List available image models, text models, and audio voices
Optional authentication for enhanced access and rate limits

Use cases of MCPollinations Multimodal MCP Server

Generate an image from a text prompt using the generateImage or generateImageUrl tool
Edit or modify an existing image by providing a URL and a text instruction (e.g., “change background to sunset”)
Produce a text response from an AI model with custom system instructions and temperature
Create audio narration or voice responses from text prompts using respondAudio
List available models or voices to choose the best fit for a generation task

Frequently asked questions

Is authentication required?

No, the server works without authentication on the free tier. You can optionally provide a Pollinations API token and referrer URL for enhanced access and better rate limits.

What are the system requirements?

Node.js version 14.0.0 or higher is required, with Node.js 16.0.0 or newer recommended for best performance and to avoid the need for an AbortController polyfill.

Which models are available for image generation?

Available models include `flux` (default), `turbo`, `kontext`, `nanobanana`, and `seedream`. Use `listImageModels` to see the current list.

Can I edit images locally?

The `editImage` and `generateImageFromReference` tools require publicly accessible HTTP(S) URLs. Local file paths or base64 data URLs are not supported; you must host the image online and provide the URL.

What is the default image output format?

When using `generateImage`, images are saved as PNG files by default, and base64-encoded image data is always returned regardless of file saving.

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