SerpMCP
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TDQS
Scored across 11 tools
Most tools are clearly distinct (search types, countries, languages, time ranges, usage guide), but serp_google_search with search_type='images' overlaps with serp_google_images, and similarly for news/videos/places/maps. The generic search tool's search_type parameter makes the dedicated tools somewhat redundant, though the dedicated ones likely return more structured results.
All tools follow a consistent serp_ prefix with verb_noun naming (serp_list_*, serp_google_*, serp_get_*). Minor inconsistency: serp_get_usage_guide uses 'get' while others use 'list' or 'google', but the pattern is still highly predictable.
11 tools is a reasonable count for a SERP API server. However, the dedicated search tools (images, news, videos, places, maps) overlap with the search_type parameter in serp_google_search, so a few could be consolidated without losing functionality.
The server covers the main Google search verticals (web, images, news, videos, places, maps) plus supporting metadata tools (countries, languages, time ranges, search types, usage guide). Missing obvious search types like scholar or shopping, but the core SERP use cases are well covered.