GemForge is an enterprise-level tool that connects Google Gemini AI with the MCP ecosystem. It provides functions such as real-time web access, advanced reasoning, code analysis, and multi-file processing. It supports more than 60 file formats and has intelligent model selection and a powerful error handling mechanism.

The MCP Tailwind Gemini Server is an advanced Tailwind CSS server integrated with Gemini AI, providing intelligent component generation, design optimization, and cross-platform support, suitable for various development environments and frameworks.

An advanced reasoning and reflection tool based on the Gemini API, supporting multi - model integration and custom configuration

An MCP server based on Gemini AI that provides advanced CSV analysis, data visualization, and thought generation functions, and supports integration with Claude Desktop.

An advanced reasoning and reflection tool based on the Gemini API

LLM Gateway is a server based on the MCP protocol that supports advanced AI agents (such as Claude 3.7) to intelligently delegate tasks to lower - cost LLM models (such as Gemini Flash), achieving cost optimization and performance balance.

This project uses advanced AI prompting techniques to enable an AI agent (based on Google Gemini model) to interact with the legacy Windows application MSPaint through the Model Context Protocol (MCP) to solve complex math problems and draw solutions on the canvas.

An example project that includes various AI agents and RAG technologies, covering Gemini applications, MCP services, Flutter applications, and Vertex AI integration, providing AI development examples from basic to advanced.

The Gemini MCP Server is a single executable file developed in Go, integrating the Model Control Protocol server of Google Gemini API. It provides dynamic model access, advanced context caching, intelligent file handling, and enhanced search functions, supporting various application scenarios such as code analysis, creative writing, and factual research.