finance-pulse
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TrendRadar MCPofficial
AlicenseAqualityCmaintenanceEnables AI clients to query and analyze aggregated multi-platform trending news through natural language, offering tools for trend tracking, sentiment analysis, similarity search, and other news intelligence tasks.27GPL 3.0
TDQS
Scored across 8 tools
Most tools have clearly distinct purposes: search_statements for raw news search, get_topic for a single development, trending for top stories, find_topics for listing developments, themes for standing subjects, sentiment_series for time series, screen for ranking symbols, and reference for metadata. However, trending and find_topics overlap somewhat in surfacing current developments, and themes/reference both expose theme-related metadata, which could cause occasional misselection.
Names mix verb_noun patterns (get_topic, search_statements, find_topics, sentiment_series) with noun-only names (trending, themes, screen, reference). The set is still readable, but the convention is not predictable throughout.
Eight tools is well-scoped for a finance news analytics server. Each tool covers a distinct analytical need without obvious redundancy or bloat.
The surface covers search, topic discovery, trending, themes, sentiment series, ranking, and reference metadata, which supports most analysis workflows. Minor gaps exist, such as no direct tool for retrieving full article content or outlet-level details, but agents can work around these via existing tools.