🧠 Pollinations Think MCP Server

An advanced Model Context Protocol (MCP) server that provides sophisticated thinking and analysis capabilities using the Pollinations AI API with DeepSeek reasoning models.

🌟 Features

• 🎯 Advanced Strategic Thinking: Multi-cycle analysis with contradiction detection and synthesis

• 🔄 Flexible Model Support: DeepSeek reasoning, OpenAI reasoning, and other advanced models

• 🛡️ Robust Error Handling: Comprehensive retry logic and graceful degradation

• ⚙️ Configurable Parameters: Customizable thinking cycles, timeouts, and model selection

• 📊 Health Monitoring: Built-in health checks and status monitoring

• ☁️ Cloud Deployment Ready: Optimized for Smithery.ai deployment to resolve network issues

🛠️ Available Tools

1. think

Advanced strategic thinking and analysis using openai-reasoning model.

Parameters:

• text (required): The topic, question, or problem to analyze

• model (optional): AI model to use (default: openai-reasoning)

• seed (optional): Random seed for reproducible results

• maxCycles (optional): Maximum thinking cycles (default: 3, max: 5)

Example:

2. search

Search the web in real-time using SearchGPT model.

Parameters:

• query (required): The search query to find information on the web

Example:

3. continue_thinking

Continue receiving the next part of a large thinking response.

Parameters: None

Example:

🚀 Installation

1. Clone the repository:

   git clone <repository-url> cd pollinations-think-mcp

2. Install dependencies:

   npm install

3. Start the server:

   npm start

🧪 Testing

Run Basic Tests

Test Search Functionality

Manual API Testing

Test the SearchGPT endpoint directly:

📋 API Endpoints Used

Thinking (OpenAI Reasoning)

• URL: https://text.pollinations.ai/{prompt}/?model=openai-reasoning&token=

• Method: GET

• Purpose: Advanced reasoning and strategic analysis

Search (SearchGPT)

• URL: https://text.pollinations.ai/{prompt}/?model=searchgpt&token=

• Method: GET

• Purpose: Real-time web search and current information retrieval

🔧 Configuration

MCP Client Setup

Add to your MCP client configuration:

Environment Variables

No environment variables required - the server uses public Pollinations.ai endpoints.

📊 Response Handling

Large Response Management

• Responses exceeding ~30KB are automatically split

• Use continue_thinking tool to get subsequent parts

• Continuation data is maintained across calls

Error Handling

• Comprehensive error messages for debugging

• Graceful fallbacks for API failures

• Detailed logging for troubleshooting

🎯 Use Cases

Strategic Thinking

• Business strategy development

• Problem-solving and decision making

• Risk assessment and mitigation planning

• Innovation and opportunity analysis

Web Search

• Current events and news research

• Market research and competitive analysis

• Technical documentation lookup

• Real-time data verification

🔍 Example Outputs

Think Tool Response

Search Tool Response

🛡️ Security

• Uses public API endpoints (no authentication required)

• No sensitive data storage

• Input validation and sanitization

• Safe error handling

📝 Version History

v2.0.0

• ✅ Added real-time web search with SearchGPT

• ✅ Enhanced thinking engine with meta-cognitive assessment

• ✅ Improved response handling for large outputs

• ✅ Comprehensive testing suite

v1.0.0

• Initial release with strategic thinking capabilities

• DeepSeek reasoning integration

• Basic MCP server implementation

🤝 Contributing

1. Fork the repository

2. Create a feature branch

3. Make your changes

4. Add tests for new functionality

5. Submit a pull request

📄 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

• Pollinations.ai for providing the AI API endpoints

• Model Context Protocol for the MCP framework

• DeepSeek for the reasoning model

• SearchGPT for real-time web search capabilities

Made with ❤️ for the MCP community