Gemsuite MCP

🚀 GemSuite-MCP: A High-Performance Gemini Server

GemSuite-MCP is a high-performance Gemini server built on the Model Context Protocol (MCP), supporting intelligent model selection and file processing. It combines the powerful capabilities of Gemini with the MCP standard, offering developers a flexible and efficient toolset.

🚀 Quick Start

📦 Installation

npm install gem-suite-mcp

💻 Usage Examples

const { gemProcess } = require('gem-suite-mcp');

async function example() {
  try {
    const response = await gemProcess({
      file: '/path/to/your/file.pdf',
      operation: 'summarize'
    });
    
    console.log(response);
  } catch (error) {
    console.error('Error:', error.message);
  }
}

example();

✨ Features

• Multi-model Integration: Supports Google Gemini series models and can be extended to be compatible with other models.
• Context Enhancement: Provides richer context information through MCP to improve the model's understanding ability.
• Intelligent Selection: Automatically or manually selects the optimal model version according to the task.
• File Processing Tools: Offers various file operation functions, including analysis, extraction, and conversion.

📚 Documentation

Model Toolset

• GemSearch: Integrates Gemini's search function, supporting context-enhanced queries.
• GemReasoning: Provides Gemini-based reasoning capabilities to solve complex problems.
• GemProcessing: Handles file tasks, including analysis, extraction, and conversion.

Automatic Model Selection

GemSuite-MCP automatically selects the appropriate Gemini model version according to the task requirements by default. You can also manually select the model by specifying the model_id parameter:

const response = await gemProcess({
  file: '/path/to/document.pdf',
  operation: 'analyze',
  modelId: 'models/gemini-2.0-flash-thinking'
});

File Operations

Supports a variety of file processing operations, including but not limited to:

• summarize: Generate a summary
• extract: Extract information
• restructure: Reorganize content
• simplify: Simplify complex content
• expand: Add details or context
• critique: Provide critical analysis
• feedback: Give constructive feedback
• analyze: General content analysis

Integration with Other MCP Hosts

GemSuite-MCP supports seamless integration with all platforms that comply with the MCP standard, including but not limited to:

• Claude Desktop: Combine with Claude's powerful reasoning capabilities.
• Cursor IDE: Provide enhanced coding assistance.
• Replit: Perform code generation and analysis directly in the development environment.
• Other platforms that follow the MCP standard.

Advanced Configuration

Custom Model Selection

You can override the automatic model selection by specifying the model_id parameter:

const response = await gemProcess({
  file: '/path/to/document.pdf',
  operation: 'analyze',
  modelId: 'models/gemini-2.0-flash-thinking'
});

🤝 Contribution Guidelines

Contributions are welcome! Here's how you can participate:

1. Fork the repository.
2. Create a feature branch: git checkout -b feature/my-new-feature.
3. Make your changes.
4. Run tests: npm test.
5. Commit your changes: git commit -m 'Add my new feature'.
6. Push to the branch: git push origin feature/my-new-feature.
7. Submit a pull request.

For significant changes, please discuss them in the issue tracker first.

📄 License

This project is licensed under the MIT License. Please refer to the LICENSE file for details.

🙏 Acknowledgments

• Lorhlona/geminiserchMCP: The original project that inspired this enhanced version.
• Model Context Protocol: Used for developing the MCP standard.
• Google Gemini: Provides powerful AI model support for this server.

🔗 Links

• GitHub Repository
• Smithery.ai
• Mcp.so
• Glama
• Issue Tracker
• Model Context Protocol

_{Developed with ❤️ by [PV-Bhat](https://github.com/PV-Bhat)}