GemForge
Integrates Google's Gemini AI with MCP agents to enable codebase analysis, live search, and multi-file processing.
About
GemForge bridges the gap between Google's Gemini AI and the Model Context Protocol (MCP) ecosystem. Empower your agents with enterprise-grade Gemini integration for tasks like codebase analysis, real-time web search, and processing various file types including PDFs, images, and more. GemForge offers intelligent model selection, automatic fallbacks, and robust error handling for production environments, making it a reliable solution for integrating powerful AI capabilities into your applications.
Key Features
- Real-time web access with `gemini_search`
- Advanced reasoning capabilities with `gemini_reason`
- Code mastery and analysis with `gemini_code`
- Multi-file processing for 60+ formats with `gemini_fileops`
- Automatic model selection based on task requirements
- 1 GitHub stars
Use Cases
- Enhancing AI agents with Gemini's capabilities
- Processing and comparing multiple file types, such as documents and images
- Analyzing and understanding complex codebases
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