Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

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

Kontxt MCP Server is a codebase context analysis service based on the Gemini model, providing codebase understanding tools for AI clients and supporting multiple transport protocols and context attachment functions.

LOTUS-MCP is an open-source model coordination protocol that integrates the two major AI models, Mistral and Gemini, providing a unified interface, context sharing, and tool integration to achieve intelligent routing and cost optimization.

Yellhorn MCP is a model context protocol server that provides full codebase context support for code assistants by integrating the capabilities of Gemini and OpenAI, enabling development task planning, code review, and isolated environment creation.

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.

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).

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.

A code problem-solving service that combines various AI and community resources. By integrating the analyses of Gemini AI, Stack Overflow, and Perplexity AI, it provides developers with multi - perspective programming solutions.

A thinking analysis server based on the Gemini API, providing the ability to decompose and think about complex problems

This is an MCP server project based on the OpenRouter API, providing network search functionality and using a specific Gemini model to return raw text results.

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.

An automated test case generation tool that connects Jira and Gemini AI. It extracts requirement information from Jira through the MCP protocol, uses Gemini to intelligently generate test cases, and automatically creates them in Jira/Xray.

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

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

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.

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.

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.

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 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.

This project implements an MCP server for interacting with the Wolfram Alpha API, enabling chat applications to perform calculation queries and obtain structured knowledge. It includes an MCP client example based on Gemini, demonstrating how to connect a large - language model to the MCP server for real - time interaction with the Wolfram Alpha knowledge engine.

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.

An MCP server integrated with the Gemini CLI tool, providing chat, content generation, and model list 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.

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.

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

A data analysis and research MCP server based on the Gemini Flash 2 AI model, providing functions such as data parsing, intelligent analysis, report generation, and automatic email sending.

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.

This project encapsulates MongoDB database operations as an AI tool through the MCP protocol, enabling interactive terminal operations between Gemini AI and MongoDB.

A data analysis and research MCP server based on the Gemini Flash 2 AI model, providing functions such as data parsing, statistical analysis, research report generation, and automatic email sending.

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.

A context management and caching MCP server based on Gemini, supporting a large context window of 2M tokens and providing session management and API caching functions.

The Apktool MCP Server is an Android APK analysis service based on the Model Context Protocol. It integrates the Apktool tool and Gemini CLI artificial intelligence, providing functions such as APK decompilation, security analysis, privacy auditing, and reverse engineering guidance.

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.

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 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.

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.

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.

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.