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

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

Media Gen MCP is a server that strictly follows the TypeScript and MCP specifications, focusing on generating and editing images and videos using OpenAI and Google's AI models. It provides a series of tools, including image generation/editing, video creation/remixing, file acquisition and processing, and supports intelligent resource linking and inline output. It is suitable for various MCP-compatible clients.

A server that provides the MCP protocol for Blogger, enabling AI models to directly interact with the Google Blogger API

The G2N MCP Google Calendar SSE Server is a server that implements the Model Context Protocol, providing Google Calendar integration functionality through Server-Sent Events and supporting AI models and applications to manage calendar events.

An MCP server based on the Google Docs API that supports language models to create, search, append, and update Google documents.

The BigQuery MCP Server is a protocol server that provides Google BigQuery access services for large language models, supporting functions such as query execution, dataset management, and table structure analysis.

Banana Image MCP is an AI image generation server based on the MCP protocol, enabling assistants like Claude to use Google Gemini models to generate high - quality images, supporting 4K resolution and intelligent model selection.

MCP-ORTools is a constraint solving service implementation based on Google OR-Tools. It integrates with large language models through a standardized constraint model specification and supports the solving of constraint satisfaction and optimization problems.

MCP-ORTools is a constraint solving service based on Google OR-Tools that integrates with large language models through a standardized constraint model specification to achieve the submission, solving, and result analysis of constraint problems.

An MCP server that provides Google PageSpeed Insights analysis, helping AI models analyze web page performance through a standardized interface.

ImageGen MCP Server is an MCP server that supports multiple AI image generation models (including GPT-Image-1, Google Imagen 4, Flux 1.1, etc.), providing flexible image generation, size adjustment, and output format options, and can be seamlessly integrated into various MCP clients.

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.

Google Scholar MCP Server is an interface service that provides AI assistants with access to academic papers on Google Scholar through the Model Context Protocol (MCP). It supports keyword search, advanced retrieval, and author information query functions to help AI models retrieve academic paper metadata.

An MCP server that provides Google search and web content analysis functions, supporting AI models to perform search and analysis tasks programmatically.

An MCP server based on Google Gemini's image generation model that allows AI agents to generate, edit, and describe images through text prompts, supporting multiple models and configuration options.

An MCP server based on the Google Custom Search API, providing a standardized web search interface for large language models

MCP AI Hub is a server based on the Model Context Protocol, providing access to over 100 AI models (including those from OpenAI, Anthropic, Google, etc.) through the LiteLM unified interface, supporting multiple transmission protocols and flexible configuration.

OmniLLM is an MCP server that serves as a bridge between Claude and other large language models (such as ChatGPT, Azure OpenAI, and Google Gemini), providing a unified AI access interface.

An MCP protocol server based on the Google Custom Search API that provides a standardized web search interface for language models, supporting environment variable configuration and type-safe implementation.

A multi-model AI code review and analysis server based on the Model Context Protocol. It supports the parallel execution of code quality checks, security analysis, and multi-agent consensus reviews by multiple AI models such as OpenAI, Anthropic, and Google Gemini.

The PageSpeed MCP Server is a bridge that connects AI assistants with the Google PageSpeed Insights API, providing website performance analysis functions for AI models, including core performance indicators, SEO evaluation, accessibility audits, and resource optimization suggestions.

An MCP server for multi - AI agent consultation that integrates different AI models such as OpenAI, Anthropic, and Google Gemini to provide multi - model perspective support for code analysis and problem - solving.

A service based on the Model Context Protocol that provides Google PageSpeed Insights web page performance analysis functions, enabling AI models to evaluate web page loading performance through standardized interfaces.

An MCP protocol server based on the Google Custom Search API, providing standardized web search capabilities for language models.

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.

MCP is an open - source protocol developed by Anthropic, aiming to provide a standardized way for AI models to interact with external data sources and tools. The project implements functions such as weather queries, Google automatic searches, and camera control. It is highly configurable and suitable for scenarios such as intelligent assistants and automated workflows.

This project is a server based on the MCP protocol that implements the interaction function with the Google Blogger API, allowing AI models to directly manage blog content, including operations such as adding, deleting, modifying, and querying articles and labels.

The MCP Search Server is a protocol service that provides Google search functionality for AI models. It supports caching and advanced search configurations and enables information retrieval through Docker deployment.

This project is a tutorial for building a Model Context Protocol (MCP) server based on Google's Gemini 2.0 model. It includes a complete code implementation, demonstrating how to enable AI models to seamlessly access external tools (such as the Brave Search API) through the MCP standard, and provides an example of a flexible architecture design.

A web - based dialogue agent based on multiple large language models (such as Google Gemini, Anthropic Claude, etc.), which implements multi - step tool execution through the Vercel AI SDK and can interact with external services (such as WhatsApp, GitHub, etc.).