A
licenseC
qualityC
maintenanceA Model Context Protocol server implementation that enables AI assistants like Claude to perform Google searches and retrieve web data directly through natural language requests.
1
353 npm
169
MIT
Google Search MCP Server
by hunter-arton
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TDQS
A3.7/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: google_image_search is for finding images, while google_web_search is for general web content like articles and news. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the need for visual vs. textual information.
Naming Consistency5/5
Both tools follow a consistent verb_noun pattern with 'google_' prefix and descriptive suffixes (_image_search, _web_search). The naming is uniform and predictable, adhering to snake_case throughout without any deviations or mixed conventions.
Tool Count4/5
With only 2 tools, the server is minimal but reasonable for a search-focused domain, covering image and web searches. It might feel slightly thin if broader search capabilities (e.g., video, news-specific) were expected, but it's well-scoped for basic search needs without being overloaded.
Completeness4/5
For a Google Search server, the tools cover the core search operations: image and web searches. Minor gaps exist, such as lack of specialized search types (e.g., video, scholarly articles) or advanced filtering options, but agents can work around this with the provided tools for most common queries.
Maintenance
ActivityInactive
ResponsivenessNo issues