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 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 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.

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.

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.

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.

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.

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.

Image generation MCP service based on Gemini 2 API

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.

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.

GemSuite MCP is the most comprehensive Gemini API integration server, achieving optimal performance and lowest cost through intelligent model selection, supporting multi-file processing and complex task analysis.

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.

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.

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

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 the Gemini API, providing AI - driven web search and summarization services, capable of synthesizing information and returning comprehensive answers with references.

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 advanced reasoning and reflection tool based on the Gemini API

This project implements an MCP server based on FastAPI, which supports interacting with the file system through HTTP requests, including file creation, reading, copying, moving, and deletion, and integrates the Google Gemini API for file content processing and summary generation.

An AI research assistant tool based on Node.js and the Gemini API. It uses Firecrawl for web data scraping, leverages the Gemini large - model for in - depth language understanding and report generation, supports iterative in - depth research, and can be integrated with the MCP protocol.

A document query MCP server based on the Gemini API, providing intelligent Q&A services for technical documents.

A secure MCP server that provides bridging services for OpenAI and Google Gemini APIs, with multi - layer security verification, content filtering, and rate limiting functions.

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.

This project demonstrates how to integrate Google Gemini API with custom tools managed by the MCP framework, process natural language queries, and use MCP tools to perform specific operations.

This project implements an MCP server that integrates Venice AI's image - generation capabilities, providing an interactive image - generation service with an approval/regeneration workflow and supporting the generation of multi - view 3D views through the Gemini API.

A professional MCP server based on Google's Imagen 3.0 model that enables high-quality image generation through the Gemini API and supports seamless integration with MCP-compatible hosts such as Claude Desktop.

GeminiMcpServer is an MCP server that connects LM Studio with the Google Gemini API, supporting image generation and multimodal task processing.

A deep thinking and analysis server based on the Gemini API, providing multi - perspective problem analysis, integration of critical and creative thinking, code quality assessment, and optimization suggestions, supporting technical decision - making and solution design.

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

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

An MCP server implementation based on the Gemini Flash 1.5 API. It coordinates multiple modular AI services (chatting, searching, RAG, deep reasoning, etc.) through a central router to achieve intelligent request distribution and response integration.