MCP Gemini Google Search
Related Servers
Alternatives to MCP Gemini Google Search
No user-submitted related servers found.
Related Servers
- 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
- AlicenseAqualityBmaintenanceEnables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.118 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI tools to perform real-time Google Search with grounded answers and inline citations, free with a Google account.4MIT
- 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.38 npm1MIT
- AlicenseAqualityFmaintenanceEnables any MCP-compatible LLM to perform AI-powered web research using Google's AI Mode, returning synthesized and cited answers instead of raw search results.137 npm152MIT
- AlicenseAqualityCmaintenanceEnables MCP hosts to perform cited web searches and receive source-bearing results with titles, URLs, snippets, and sources for evidence-grounded answers.115 npmMIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool has a single, clear purpose that cannot be confused with any other tool in the set.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The tool name 'google_search' follows a clear and descriptive verb_noun pattern.
A single tool for a search server is too minimal for typical agent workflows, as it lacks complementary tools like filtering, pagination, or advanced search options. This forces agents to rely solely on basic queries without refinement capabilities.
The tool surface is severely incomplete for a search domain, missing essential operations such as filtering results by date, site, or language, handling pagination, or providing search suggestions. This will limit agents to basic, one-off queries without follow-up capabilities.