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

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

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.

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 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.

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.

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).

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.

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.

This is a tool that provides a complete MCP server for RPG Maker MZ game development, supporting the automatic generation of game projects, maps, events, database content, and game assets through MCP tools and AI (Gemini), enabling programming - based or AI - driven game development without a GUI.

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

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 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.

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.

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

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.

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

Inkeep MCP is a universal document connector based on the Model Context Protocol (MCP). It connects local AI tools (such as Gemini CLI, Claude Desktop) with the "AI Q&A" function of any document website using the Inkeep service (such as Langfuse, Render, etc.) through browser simulation, allowing AI assistants to directly query official documentation.

A Blender MCP client application based on Firebase Genkit and Gemini, supporting the creation and manipulation of 3D scenes by selecting shapes, colors, textures, and scene descriptions, and enabling real-time interaction with Blender.

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.

An MCP server that provides AI assistants with access to Gemini API documentation, supporting local reading and searching of documents.

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.

Senior Consult MCP is an MCP server that allows AI agents to consult multiple top - tier models (such as Claude, GPT, Gemini, etc.) to obtain technical architecture suggestions, code reviews, and solutions to complex problems without switching contexts.

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.

This is an MCP server based on Google's Gemini API, providing text conversation, image generation, and video generation functions. It can be used as an alternative to Codex MCP.

Claude Team is a multi - agent MCP server that enables intelligent task distribution, preset workflow templates, and a custom expert system by configuring multiple AI models (such as GPT, Claude, Gemini) to work together, for automated collaboration on complex development tasks.

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.

The ConsultingAgents MCP Server is a multi - model consulting agent server that provides four AI expert consulting services (Darren, Sonny, Sergey, Gemma) for Claude Code through the MCP protocol, supporting code analysis, document search, and repository - level development planning.

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.

A command - line code summarization tool based on Gemini Flash 2.0, supporting MCP server integration

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.

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.

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.

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

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

This is an MCP server project that allows users to define AI sub - agents for specific tasks (such as code review, test writing) in Markdown files and execute them in any MCP - compatible tool through the Cursor, Claude Code, or Gemini CLI backends, realizing the reuse of AI sub - agent workflows across IDEs.

MCP Vision Relay is an MCP server that provides image analysis capabilities for MCP clients that only support text, such as Claude and Codex, by encapsulating locally installed Gemini and Qwen command - line tools, enabling them to process pictures in local paths, URLs, or base64 - encoded format.