Pollinations MCP

# Pollinations

The Pollinations MCP server is a multimodal server that enables AI assistants to generate images, audio, and text without requiring authentication. It provides powerful tools for generating image URLs from text prompts, creating images, generating audio responses, converting text to speech, and listing available models.

Installation Instructions

README: https://github.com/pollinations/pollinations

🆕 Latest News

• 🔐 Auth Dashboard - New and live! Visit auth.pollinations.ai to manage your API tokens and referrer domains. Learn more.
• 🏆 Tier System: Seed, Flower, Nectar—higher tiers unlock more features. Details
• 🔍 Tier System: Seed, Flower, Nectar tiers. Higher tiers available during limited beta.
• 💲 Support Us - You can now support us with our new Tip Us button. Optionally connect your Discord account to Ko-Fi to get premium Discord roles!
• 🎵 Audio Generation - New text-to-speech and speech-to-text capabilities are now available! Try the openai-audio model - see our API documentation for details.
• 🤖 AI Code Assistant - We're excited to announce MentatBot, the autonomous AI coding assistant that implements new features directly from GitHub issues! Simply create an issue describing what you'd like to see, and MentatBot will analyze and implement it. Learn more.
• 🖼️ GPT Image - Introducing our new state-of-the-art text-to-image model, GPT Image, which generates high-resolution, contextually accurate visuals from any prompt. Learn more about OpenAI's latest image generation model here.

🌟 Introduction

Pollinations.AI is an open-source gen AI startup based in Berlin, providing the most easy-to-use, free text and image generation API available. No signups or API keys required. We prioritize your privacy with zero data storage and completely anonymous usage.

🚀 Key Features

• 🔓 100% Open Source
• 🆓 Free to use
• 🔒 Simplicity and privacy: No logins, no keys, no data stored
• 🖼️ Embed like any normal image or text
• 🎵 Audio generation: Text-to-speech and speech-to-text capabilities
• 🌍 Free AI image and text generation APIs
• 🤝 Used by various open-source LLMs, bots, and communities
• 🎣 Easy-to-use React hooks (React Hooks Examples)
• 🤖 Autonomous Development: Features implemented by our MentatBot coding assistant through GitHub issues

🚀 Getting Started

Image Generation

1. Visit https://pollinations.ai
2. Type your description in the text box
3. Click "Generate" and watch the magic happen!

Text Generation

1. Visit https://text.pollinations.ai
2. Start chatting with the AI

Audio Generation

1. Use the openai-audio model with our API (explore voices at OpenAI.fm)
2. Generate speech from text or transcribe audio to text

MCP Server for AI Assistants

Our MCP (Model Context Protocol) server enables AI assistants like Claude to generate images and audio directly. Learn more

Configuration

Add this to your MCP client configuration:

{
  "mcpServers": {
    "pollinations": {
      "command": "npx",
      "args": [
        "@pollinations/model-context-protocol"
      ]
    }
  }
}

Run with npx (no installation required)

npx @pollinations/model-context-protocol

Community alternatives like MCPollinations are also available.

AI assistants can:

• Generate images from text descriptions
• Create text-to-speech audio with various voice options
• Play audio responses through the system speakers
• Access all Pollinations.AI models and services
• List available models, voices, and capabilities

For more advanced usage, check out our API documentation.

🖥️ How to Use

Web Interface

Our web interface is user-friendly and doesn't require any technical knowledge. Simply visit https://pollinations.ai and start creating!

API

Use our API directly in your browser or applications:

https://pollinations.ai/p/conceptual_isometric_world_of_pollinations_ai_surreal_hyperrealistic_digital_garden

Replace the description with your own, and you'll get a unique image based on your words!

🎨 Examples

Image Generation

Here's an example of a generated image:

Python code to download the generated image:

import requests

def download_image(prompt):
    url = f"https://pollinations.ai/p/{prompt}"
    response = requests.get(url)
    with open('generated_image.jpg', 'wb') as file:
        file.write(response.content)
    print('Image downloaded!')

download_image("conceptual_isometric_world_of_pollinations_ai_surreal_hyperrealistic_digital_garden")

Text Generation

To generate text, use this URL:

https://text.pollinations.ai/What%20is%20artificial%20intelligence?

Audio Generation

To generate audio from text, use this URL:

https://text.pollinations.ai/Welcome%20to%20Pollinations?model=openai-audio&voice=nova

🛠️ Integration

React Hooks

We offer React hooks for easy integration. Example usage:

import React from 'react';
import { usePollinationsImage, usePollinationsText } from '@pollinations/react';
import ReactMarkdown from 'react-markdown';

const AIGeneratedContent = () => {
  const imageUrl = usePollinationsImage("Beautiful landscape of Paris with Eiffel Tower", { width: 800, height: 600, seed: 42 });
  const markdown = usePollinationsText("Write a brief travel guide for Paris, including top attractions and local cuisine in markdown", { seed: 42 });

  return (
    <div>
      <h2>AI-Generated Travel Guide</h2>
      <img src={imageUrl} alt="AI Generated" />
      {markdown ? (
        <ReactMarkdown>{markdown}</ReactMarkdown>
      ) : (
        <p>Loading markdown content...</p>
      )}
    </div>
  );
};

export default AIGeneratedContent;

Check out our Pollinations React Hooks for more details.

Architecture

graph LR
    Q[Bots - Discord, Telegram, WhatsApp] --> L1
    
    N[30+ Mobile and Web Apps] --> L1
    N --> L2
    
    A[pollinations.ai Web Frontend] --> L1
    A --> L2
    
    R[AI Agents - Qwen, Sillytavern, ...] --> L1
    
    AI[AI Assistants - Claude] --> MCP[MCP Server]
    MCP --> L1
    
    L1[Image CDN] --> CF[Cloudflare Worker with R2 Cache]
    L2[Text CDN] --> C
    
    CF --> B
    
    B[image-origin.pollinations.ai - AWS EC2 CPU] --> F[Azure OpenAI - Prompt Enhancing]
    B --> S[LlamaGuard - Safety Checker]
    F --> E[Translation Service - 1 GPU VM]
    E --> D[FLUX image generation model - 2-6 GPU VMs on AWS]
    
    C[text.pollinations.ai - AWS EC2 CPU] --> P[karma.yt - Realtime News]
    C --> SC[Scaleway API]
    C --> DS[Deepseek API]
    C --> G[Azure-hosted Serverless LLMs]
    C --> CFM[Cloudflare AI]
    SC --> MI[Mistral Models]
    SC --> QW[Qwen Models]
    SC --> LL[Llama Models]
    DS --> DM[Deepseek Models]
    G --> H[OpenAI]
    G --> K[Claude]
    CFM --> CFL[Llama & Deepseek Models]

Projects Using Pollinations.AI

⭐ GitHub Star Counts: Projects with GitHub repositories include star counts to help you gauge their popularity.

🆕 NEW Tag: Projects are marked with the 🆕 emoji when they are recently added. This tag is automatically removed after 15 days from the submission date or if no date is specified.

Note: Some projects may be temporarily hidden from this list if they are currently broken or undergoing maintenance.

Pollinations.AI is used in various projects, including:

Vibe Coding ✨

Creative 🎨

Games 🎲

Hack-&-Build 🛠️

Chat 💬

Social Bots 🤖

Learn 📚

Have you created a project using Pollinations.AI? Submit it through our project submission form to get it listed here! We use a structured GitHub issue template to make the submission process easy and organized.

🔮 Future Developments

We're constantly exploring new ways to push the boundaries of AI-driven content creation. Some areas we're excited about include:

• Digital Twins: Creating interactive AI-driven avatars
• Music Video Generation: Combining AI-generated visuals with music for unique video experiences
• Real-time AI-driven Visual Experiences: Projects like our Dreamachine, which create immersive, personalized visual journeys

🌍 Our Vision

Pollinations.AI envisions a future where AI technology is:

• Open & Accessible: We believe AI should be available to everyone, not locked behind paywalls or restricted access

• Transparent & Ethical: Our open-source approach ensures transparency in how our models work and behave

• Community-Driven: We're building a platform where developers, creators, and AI enthusiasts can collaborate and innovate

• Interconnected: We're creating an ecosystem where AI services can seamlessly work together, fostering innovation through composability

• Evolving: We embrace the rapid evolution of AI technology while maintaining our commitment to openness and accessibility

We're committed to developing AI technology that serves humanity while respecting ethical boundaries and promoting responsible innovation. Join us in shaping the future of AI.

🤝 Community and Development

We believe in community-driven development. You can contribute to Pollinations.AI in several ways:

1. Coding Assistant: The easiest way to contribute! Just create a GitHub issue describing the feature you'd like to see implemented. The MentatBot AI assistant will analyze and implement it directly! No coding required - just describe what you want.

2. Project Submissions: Have you built something with Pollinations.AI? Use our project submission template to share it with the community and get it featured in our README.

3. Feature Requests & Bug Reports: Have an idea or found a bug? Open an issue and let us know. Our team and the MentatBot assistant will review it.

4. Community Engagement: Join our vibrant Discord community to:

   • Share your creations
   • Get support and help others
   • Collaborate with fellow AI enthusiasts
   • Discuss feature ideas before creating issues

For any questions or support, please visit our Discord channel or create an issue on our GitHub repository.

🗂️ Project Structure

Our codebase is organized into several key folders, each serving a specific purpose in the Pollinations.AI ecosystem:

• pollinations.ai/: The main React application for the Pollinations.ai website.

• image.pollinations.ai/: Backend service for image generation and caching with Cloudflare Workers and R2 storage.

• pollinations-react/: React component library for Pollinations.ai.

• text.pollinations.ai/: Backend service for text generation.

• model-context-protocol/: Model Context Protocol (MCP) server for AI assistants like Claude to generate images directly.

This structure encompasses the frontend website, backend services for image and text generation, and integrations like the Discord bot and MCP server, providing a comprehensive framework for the Pollinations.AI platform.

🏢 Supported By

Pollinations.AI is proud to be supported by:

• Portkey AI Gateway: AI Gateway for LLM routing and fallbacks
• AWS Activate: GPU Cloud Credits
• Google Cloud for Startups: GPU Cloud Credits
• NVIDIA Inception: AI startup support
• Azure (MS for Startups): OpenAI credits
• Cloudflare: Put the connectivity cloud to work for you.
• Scaleway: Europe's empowering cloud provider
• Modal: High-performance AI infrastructure

📜 License

Pollinations.AI is open-source software licensed under the MIT license.

Made with ❤️ by the Pollinations.AI team

Contributors