Descubre 127 MCPs desarrollados para Google Gemini.
Demonstrates how to build Model Context Protocol (MCP) servers with Google's Gemini 2.0 model.
Provides fast C++ code intelligence to large language models and coding agents via the Model Context Protocol.
Provides a Model Context Protocol client leveraging Google Gemini AI models for intelligent tool usage and conversation management.
Leverages Google's Gemini API to provide sequential thinking and problem-solving capabilities without code generation.
Enables Claude Desktop to perform AI-powered semantic search and understanding of your codebase using Google's Gemini embeddings and Qdrant Cloud vector storage.
Enables Claude Desktop to generate images using Google's Gemini AI models.
Provides a command-line interface for interacting with Google Gemini models, enabling tool usage and persistent semantic memory.
Enables Claude Code to seamlessly integrate and leverage Google's Gemini AI through an OpenRouter API key.
Integrates Google's Gemini AI models through a professional Model Context Protocol (MCP) server, designed for seamless enterprise-level use.
Integrates Google's Gemini AI models with Model Context Protocol (MCP) clients, enabling advanced AI capabilities for applications like Claude Desktop.
Extends AI assistant memory by leveraging Gemini's context caching to load and query large codebases, documentation, and PDFs.
Enables AI agents to generate, edit, and describe images using Google's Gemini models through an MCP server.
Integrates Google Gemini 2.5 Flash image generation, editing, and composition capabilities directly into Claude conversations.
Generates AI-powered CSS and integrates Tailwind CSS into various development environments.
Consult multiple top-tier LLMs simultaneously with automated peer review and synthesis for high-confidence answers.
Analyze images, audio, and videos using Google's Gemini AI.
Provides a Windows-compatible Model Context Protocol (MCP) server, enabling AI assistants to seamlessly interact with Google's Gemini CLI.
Retrieve, process, and analyze web content from URLs using an AI-powered Model Context Protocol server.
Enables AI agents to start, stop, and monitor long-running command-line processes.
Generates images using Google's Gemini API, integrating advanced image generation capabilities with various AI models via an MCP server.
Scroll for more results...