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TrendPulse - Google News & Trends

by AKzar1el
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Python
Remote

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.1/5.0

Scored across 16 tools

Disambiguation3/5

Most tools have clear axes of distinction (news vs. trends, and filter-by-keyword/location/topic/site), and the descriptions cross-reference each other explicitly. However, three tools — get_trending_terms, get_top_trends, and get_ranked_trends — all return a current trending feed with only subtle differences, which is a likely source of misselection. get_growth vs. get_trends is also a thin boundary (derived metric vs. underlying series).

Naming Consistency4/5

Every tool follows a consistent get_<noun_phrase> snake_case pattern, which is easy to scan and predict. The minor inconsistency is noun choice for near-identical concepts (terms vs. trends vs. top_trends vs. ranked_trends), which slightly obscures semantics rather than breaking the pattern.

Tool Count4/5

16 tools is slightly heavy but reasonable for a two-domain server (news search + trends analytics). Each tool covers a distinct retrieval dimension (source filter, geography, time series, region, growth) rather than duplicating surface area. No obviously redundant slot beyond the trending-feed trio.

Completeness4/5

The surface covers trend discovery, historical series, related queries/topics, suggestions, categories, regional interest, growth, and ranking, plus news by keyword/location/topic/site, top news, and full article retrieval. Minor gaps exist: no explicit publisher/source listing tool and no combined news+trend workflow, but agents can work around these with the provided filters.

Maintenance

ActivityActive
ResponsivenessSlow

Resources