MCPollinations Multimodal MCP Server

by pinkpixel-dev

41 stars
714 downloads
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GitHub

About

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.

Details

Author
pinkpixel-dev
GitHub stars
41
Downloads
714
Categories
Media

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name MCPollinations Multimodal MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

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.

generateImageUrl

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

generateImage

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.

editImage

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.

generateImageFromReference

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

listImageModels

List available image models

respondAudio

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

listAudioVoices

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

respondText

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.

listTextModels

List available text models

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcpollinations multimodal mcp server": {
            "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"
                    }
                }
            }
        }
    }
}

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

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

smithery badge Verified on MseeP

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:

```bash

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