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.

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.

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).

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.

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.

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

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.

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.

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.

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

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 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 tool for interacting with globally published books through the MCP client, supporting long - text pagination and caching, and planning to integrate Gemini Q&A and Sci - Hub resources.

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.

The combination of Gemini CLI and the MCP server built with Google Apps Script extends the automation capabilities of Google Workspace through a low - code platform, providing support for 41 tools covering services such as Gmail, Drive, Calendar, etc., and enabling multi - step execution of complex tasks.

This project implements an MCP server based on the Gemini API, providing access to various technical documents. With a large context window of 2M tokens, it directly processes complete documents without the need for chunking or retrieval steps of traditional RAG systems. It supports functions such as document query, code specification check, and problem - solving hints, and is suitable for the Roo/Cline environment.

DeepRe is a Deno-based CLI tool that automatically generates in-depth research reports using the Google Gemini API, supporting Japanese and Markdown output.

This project is a server that implements the Model Context Protocol (MCP) specification. It serves as a bridge for MCP clients (such as Claude Desktop) to interact with Google's Gemini AI models through a standardized interface. It supports multiple Gemini models and function calls, provides tools such as single - question asking, multi - round conversations, and function calls, and can be deployed locally or via Docker.

An MCP server implementation based on Gemini, providing powerful context management and caching functions, supporting a context window of up to 2 million tokens, and suitable for integration with various AI clients.

A command-line interface enhancement tool that provides an enhanced CLI for interacting with the Gemini API, supporting local command execution and interactive program automation

The code review MCP server based on Gemini CLI provides structured code review functions for AI assistants by automatically collecting local code differences and static analysis results.

Project for integrating Gemini AI into MCP client and server

The Windows-compatible version of the Gemini MCP tool, which fixes cross-terminal compatibility and response format issues, and supports AI assistants to interact with Google Gemini CLI via the MCP protocol

Gemini Rust Suite is a Rust-based Google Gemini model interaction tool suite that provides a CLI interface, tool call protocol (MCP), persistent semantic memory, and other functions, supporting integration with external services.

A working demonstration project of the Model Context Protocol (MCP) integrated with Google Gemini, including configuration and operation guides for the server and client.

Implementation of MCP server and client based on Gemini protocol

The Twitch MCP server is an AI toolset provided for Twitch streamers. It connects chat assistants (such as Gemini CLI, Qwen Coder, Claude Code, etc.) to Twitch chat through the Model Context Protocol (MCP) to implement chat management, content moderation, and audience interaction functions.

An MCP server based on the Google Gemini 2.5 Flash Image API, providing functions such as text-to-image generation, image editing, multi-image composition, and style transfer, supporting the use of multiple MCP clients.