Gemini Search MCP
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- AlicenseAqualityDmaintenanceProvides grounded web search and research capabilities using Google's Gemini models and Google Search, with features like normal and research modes, batch searches, and health checks.37 npm1MIT
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- FlicenseNot gradedqualityDmaintenanceEnables AI-powered web searches using DuckDuckGo with automatic summarization via Google's Gemini AI. Supports both summary and detailed analysis modes for search results.-
- FlicenseNot gradedqualityDmaintenanceProvides real-time web research and URL summarization capabilities using Gemini 2.5 Flash with native Google Search grounding. It enables users to perform factual searches and summarize web content directly within MCP-compatible clients like Claude Desktop.17-
- AlicenseAqualityCmaintenanceEnables AI assistants to query Google AI (Gemini models) via Vertex AI or Google AI Studio with automatic tool selection, multi-turn reasoning, and multimodal input support.1065 npmApache 2.0
- AlicenseNot gradedqualityDmaintenanceProvides Google search grounding capabilities for Gemini AI models through MCP, enabling AI assistants to perform web searches with Gemini's grounding API for more accurate and up-to-date responses.MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool has a clearly defined purpose focused on AI-powered search with web grounding.
A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The name 'gemini-search' follows a clear and descriptive pattern.
A single tool is too few for a server named 'Gemini Search MCP', which suggests a broader search functionality scope. While the tool is powerful, the set feels thin and limited, lacking complementary operations like filtering, saving results, or managing search history.
The tool surface is severely incomplete for a search domain. It provides a general search function but lacks essential operations such as refining searches, handling pagination, accessing cached results, or integrating with other data sources, which are typical in search APIs.