Gemini Grounding
About
Enhance your online search experience with seamless integration to Google's Gemini API, offering enriched web search capabilities. Access synthesized answers, inline citations, and curated summaries instead of traditional search outcomes.
Explore Similar MCP Servers
Gemini Collaboration
Facilitates collaboration between Claude and Google's Gemini AI for interactive question answering, customizable code review, and productive brainstorming sessions to enhance multi-model pair programming processes.
Deep Code Reasoning
Facilitates smart routing connecting Claude and Google's Gemini AI for comprehensive code scrutiny, utilizing Gemini's extensive 1M token context range for in-depth examination of substantial code repositories. Claude manages local tasks and offers conversational AI-to-AI communication for collaborative troubleshooting sessions.
Gemini
Facilitating seamless image generation on Claude Desktop by bridging with Google's Gemini through a JSON-RPC protocol for direct conversational image creation.
Gemini DeepSearch
Enhance your web research capabilities with an advanced Model Context Protocol (MCP) that utilizes the power of Google Search API and Gemini models. This protocol automates multi-step searches, creates a variety of search queries, runs simultaneous searches, and delivers detailed answers with accurate source references. Tailor your research by adjusting the depth levels for more in-depth insights.
Gemini
Enable real-time response streaming and LLM processing capabilities by integrating cutting-edge Gemini AI models from Google.
Gemini CLI
Enhance your experience with seamless integration with Google's Gemini CLI tool. Experience interactive conversations, customizable content creation with adjustable temperature controls, and effortless model exploration via command-line interactions.
Google Custom Search
Enhance your web searching experience with seamless integration of the Google Custom Search API. Ideal for fact-checking, research purposes, and creating quality content.
Google Custom Search
Enhance your web crawling and data analysis capabilities at scale by seamlessly connecting with Google Custom Search Engine through the innovative Model Context Protocol (MCP). Streamline content extraction and search result parsing for efficient data collection and analysis.
Vertex AI Gemini
Enhance your Google Cloud Vertex AI Gemini model integration with web search connection, precise knowledge retrieval, and text-based replies using customizable utilities and real-time assistance.
Gemini Context
Enhances Gemini model performance by enabling continuous chat logs, advanced search capabilities, and efficient caching through API integration, resulting in improved token management and decreased expenses.
Google Custom Search
Employs the Google Custom Search Engine API to facilitate online searches for fact verification, scholarly exploration, and content creation using up-to-date information.
Google Search (Gemini)
Enhance search capabilities using Gemini's inherent features to deliver precise search results, complete with automatic source references and metadata for trustworthy information retrieval.
Deep Research
Explore a cutting-edge Model Context Protocol (MCP) that leverages search engine integration, web scraping capabilities, and advanced Gemini models. This innovative approach enables in-depth and iterative research across various subjects, producing comprehensive reports enriched with verifiable source references.
Google Search
Discover a cutting-edge Model Context Protocol (MCP) that seamlessly connects with the Google Custom Search API and advanced web scraping utilities. Empowering users to conduct comprehensive web searches, extract valuable content, and perform detailed analysis for various research and data consolidation purposes. Unleash the power of this MCP for enhanced search capabilities and efficient data mining.
Gemini
Enhance your text creation, analysis, and conversational capabilities with seamless integration with Google's Gemini API. This functionality is facilitated through a Flask-powered RESTful server, ensuring secure management of API keys using environment variables.