Gemini MCP Server for Claude Desktop

# Gemini MCP Server Project Summary ## Overview This project has transformed a basic JavaScript implementation for a Gemini Image MCP server into a fully-fledged, distributable npm package. The Gemini MCP Server enables Claude Desktop to generate images using Google's Gemini AI models through a standardized Model Context Protocol (MCP) interface. ## Project Structure ``` gemini-mcp-server/ ├── bin/ # Executable scripts │ ├── gemini-mcp-server.js # Main CLI entry point │ ├── postinstall.js # Post-installation script │ └── setup.js # Configuration wizard ├── docs/ # Documentation │ ├── api.md # API reference │ ├── setup-guide.md # Installation guide │ └── troubleshooting.md # Troubleshooting guide ├── examples/ # Example files │ ├── claude_desktop_config.json # Example Claude Desktop config │ ├── config.json # Example server config │ └── programmatic-usage.js # Example code for library usage ├── src/ # Source code │ ├── config.js # Configuration module │ ├── index.js # Main entry point │ ├── logger.js # Logging module │ └── server.js # Server implementation ├── templates/ # Template files │ └── gemini-mcp-wrapper.sh # Template wrapper script ├── .gitignore # Git ignore file ├── LICENSE # MIT License ├── package.json # npm package definition ├── README.md # Project README └── SUMMARY.md # This summary file ``` ## Key Improvements 1. **Structured Code Organization** - Separated code into modules (config, logger, server) - Created proper entry points for both CLI and library usage - Implemented consistent error handling and logging 2. **Enhanced Configuration System** - User-friendly setup wizard - Multiple configuration sources (file, env vars, CLI options) - Persistent configuration storage 3. **Expanded Features** - Additional image generation parameters (temperature, style) - Improved error handling and reporting - More detailed logging 4. **Comprehensive Documentation** - Detailed README with installation and usage instructions - Setup guide for step-by-step installation - API documentation for programmatic usage - Troubleshooting guide 5. **Proper npm Package Structure** - Standard directory layout - Package.json with proper dependencies and scripts - CLI commands and binary executables - Post-installation hooks ## Next Steps To complete the project and make it ready for distribution: 1. **Testing** - Create unit tests for each module - Add integration tests for the MCP protocol implementation - Test on different operating systems (macOS, Windows, Linux) 2. **CI/CD Pipeline** - Set up GitHub Actions for automated testing - Configure npm publishing workflow - Add version management 3. **Build Process** - Add TypeScript for type safety (optional) - Set up bundling for distribution 4. **Enhanced Features** - Add support for more Gemini models - Implement additional image generation options - Create a web UI for viewing and managing generated images 5. **Distribution** - Create a GitHub repository - Publish to npm registry - Create a project website ## How to Use This Project 1. **For Development** ```bash git clone <repository-url> cd gemini-mcp-server npm install npm link # For local development testing ``` 2. **For Users** ```bash npm install -g gemini-mcp-server npx gemini-mcp-setup ``` 3. **For Integration with Claude Desktop** - Run the setup wizard - Restart Claude Desktop - Ask Claude to generate images ## Conclusion This project has successfully transformed a simple script into a robust, user-friendly npm package that makes it easy for users to add image generation capabilities to Claude Desktop. The modular design, comprehensive documentation, and flexible configuration options provide a solid foundation for future enhancements and community contributions.