This project builds a bridge between Claude Code and Google Gemini AI, enabling direct calls to Gemini in the Claude Code environment for Q&A, code review, and creative brainstorming, providing a convenient AI collaboration tool.

An MCP server project that enables interaction between Claude Desktop and Google Gemini AI models

The Gemini Cloud Assist MCP server is a tool that connects MCP clients with the Google Cloud Gemini Cloud Assist API, allowing users to understand, manage, and troubleshoot Google Cloud environment issues using natural language.

An MCP image generation and editing server based on Google Gemini 2.5 Flash API, supporting text - to - image generation, image editing, iterative creation, and style transfer functions

An MCP server based on Google's Gemini model, providing text-to-image generation and image transformation functions, supporting high-quality image generation, smart file name generation, and local storage.

This project is a proof-of-concept (POC) that demonstrates how to implement the Model Context Protocol (MCP) through a custom host for testing agentic systems. Core features include OpenAI-compatible API, Google Gemini integration, streaming response support, and tool invocation capabilities.

An MCP server based on the Gemini API and Google Search, which provides intelligent answering functions for the latest information when used in conjunction with an AI assistant (such as Cline).

GemSuite MCP is the most comprehensive Gemini API integration server. It provides optimal performance, lowest token cost, and seamless integration through intelligent model selection, and supports various file processing and complex tasks.

A local STDIO MCP server that provides tools for searching and retrieving Google Gemini API documentation, supporting full-text search and automatic content updates

Implementation of the Gemini MCP Server, supporting interaction between Claude Desktop and the Google Gemini 2.5 Pro Experimental model

An asynchronous conversation AI service based on the Google Gemini API, which processes requests through a Redis queue and provides an MCP protocol-compatible API interface.

An AI planning system integrating Google Gemini CLI and Claude Code, providing functions such as automatic planning and execution, persistent context management, and MCP integration.

This project demonstrates how to use Google's Gemini 2.5 Pro model to interact with the flight search tool under the MCP protocol through the function call feature, enabling natural language queries for flight information and returning formatted results.

The Gemini MCP Server is a middleware designed for the Claude desktop application, enabling image generation through Google's Gemini AI model. This project provides a convenient installation and configuration wizard, supports Docker containerized deployment, and allows users to customize generation parameters.

DeepRe is a Deno-based AI-driven CLI tool that automatically generates in-depth research reports using Google Gemini API. It supports multi-round iterative research and automatic evaluation, and outputs structured Markdown reports.

This project is a server for the Gemini model based on the MCP protocol, encapsulating Google's Gemini API and providing functions such as text generation, function calling, and file handling.

The AI Studio MCP Server is a model context protocol server integrated with Google AI Studio/Gemini API, providing content generation functions that support files, conversation history, and system prompts.

A chat platform integrating LangChain, a custom MCP server, and Google Gemini AI model, providing enhanced conversation functions.

This project is an MCP server based on Google Cloud Vertex AI Gemini model, providing a rich toolset for code assistance and general Q&A, supporting web search-enhanced answers, document explanation generation, file system operations, and other functions.

The LangExtract MCP Server is a FastMCP - based server that extracts structured information from unstructured text through the Google Gemini model, providing text information extraction capabilities for AI assistants such as Claude Code and supporting smart caching and persistent connections.

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.

Gemini DeepSearch MCP is an automated research agent that uses the Google Gemini model and Google Search for in-depth multi-step web research and generates high-quality, referenced answers.

An MCP service for YouTube video analysis based on the Google Gemini Vision API, providing functions such as video description, summarization, Q&A, and key segment extraction.

The MCP Gemini API server is a Google Gemini API proxy service designed for Cursor and Claude, providing functions such as text generation, image analysis, video analysis, and web search.

A basic MCP application that combines a FastAPI backend and a Gradio frontend, supporting interaction with AI models through a simple interface and integrating the Google Gemini API to implement paper search and analysis functions.

An MCP server based on Google Gemini AI that provides image, audio, and video recognition functions, supporting multiple transmission methods and client integration.

The Gemini Nanobanana MCP is a Claude plugin that allows users to generate AI images through text descriptions. It integrates Google Gemini 2.5 Flash image generation functionality and supports various image editing and creation methods.

A server based on the MCP protocol that utilizes the built-in Google Search function of Gemini to provide real-time web search services, supporting two access methods, Google AI Studio and Vertex AI.

An MCP server that combines Claude Code and Google Gemini AI to achieve in - depth code analysis through multi - model collaboration. Claude is good at local context operations and CLI workflows, while Gemini uses its ultra - large context window for distributed system debugging and long - trace analysis.

A modern MCP server implementation that provides web search and research paper analysis functions for AI assistants through the Brave Search API and Google's Gemini model.

This project is a Python-based multi-MCP server management framework that interacts with the Google Gemini API through the SSE protocol. It includes two major function modules: calendar management and browser automation, and supports dynamically loading multiple services through a configuration file.

An MCP server based on the Google Gemini API, providing image generation functions, supporting image creation through text prompts and automatic uploading to the ImgBB image hosting service.

Gemini Bridge is a lightweight MCP server that connects AI programming assistants to Google Gemini AI through the official CLI, supporting multi - client interaction without API costs.

Zen MCP Gemini Transcendent is a revolutionary AI consciousness coordination server that enables harmonious collaboration between Claude Code and Google Gemini through an 8 - stage transcendent processing flow. It features an ultimate consciousness engine, a revolutionary memory system, and transcendent tools beyond traditional MCP. It supports multiple AI personality archetypes and infinite reasoning depth, aiming to achieve breakthroughs at the consciousness level and wisdom synthesis.

An MCP server implementation based on TypeScript that integrates the Gemini model by directly calling the Google Gemini API, supports the latest Gemini 2.0 Flash model, and maintains conversation context.

An MCP server based on the Gemini API and Google Search, providing real - time information query functions for AI assistants

An MCP server based on TypeScript, integrating the Google Gemini Pro model

The Gemini UI Design Server is an enterprise-level UI/UX design and front-end implementation expert system based on the MCP protocol, providing professional UI component design, code review, front-end code generation, and architecture consultation services by integrating Google Gemini 2.5 PRO.

The Gemini CLI Orchestrator is a multi-step code analysis tool based on Google Gemini AI. It guides developers through a systematic analysis via a structured workflow rather than replacing human thinking. It offers four core functions: analysis planning, prompt optimization, iterative analysis, and result synthesis, and is suitable for complex scenarios such as security audits and performance optimization.

OmniMind is an open - source Python library designed to simplify Model Context Protocol (MCP) integration and support the development of AI agents, workflows, and automation. It offers plug - and - play functionality, has built - in multiple tools, and provides intelligent responses based on Google Gemini, making it suitable for developers and beginners to quickly build AI applications.