finance-pulse
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- AlicenseAqualityCmaintenanceEnables querying scored and classified Russian and English news via MCP clients, offering filtered feeds, keyword search, breaking news, and coverage stats.51MIT

trendradar-mcpofficial
AlicenseNot gradedqualityBmaintenanceEnables AI clients to access aggregated multi-platform trending topics and RSS feeds, filter news by keywords, and perform natural-language analysis, sentiment insights, and trend prediction.GPL 3.0- AlicenseNot gradedqualityBmaintenanceEnables agents to discover supported news topics, read source-linked articles, and retrieve changes from a saved cursor. It exposes standard Streamable HTTP MCP tools alongside the news API endpoints for fresh news ingestion and reliable updates.1 npm1MIT
- AlicenseAqualityBmaintenanceProvides news sentiment scores and media volume trends for any topic, enabling AI assistants to analyze whether news coverage is positive or negative.31MIT
- AlicenseNot gradedqualityBmaintenanceEnables searching recent news coverage from 28 Chinese, Hong Kong, Taiwanese and overseas-Chinese publishers, with headline, publisher, URL, publication time, theme tags and average article tone, plus an audited publisher census and article metadata lookups.18 npmMIT
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TDQS
Scored across 12 tools
The set follows a clear list/detail and entity/aggregate split (find_topics vs get_topic, storylines vs get_storyline), and descriptions carefully delineate overlapping cases like trending vs find_topics(sort=velocity). The remaining ambiguity is in the three-tier conceptual hierarchy (themes vs topics vs storylines) and the get_symbol vs find_symbol pair, where naming alone doesn't signal 'profile' vs 'code lookup'.
All snake_case and readable, but conventions are mixed: verb_noun forms (search_statements, get_symbol, find_symbol, get_topic, get_storyline) coexist with bare nouns (screen, trending, themes, storylines, reference). The find_/get_ prefix on the same resource (find_symbol vs get_symbol) is the least predictable part.
12 tools is well within the ideal range, and each earns its place: discovery, search, per-entity profile, three aggregation views, and a topic/storyline navigation pair with detail counterparts. No redundant or filler tools are visible.
The surface covers the full read lifecycle for a news-analytics domain: reference/discovery, search with pagination and cursors, entity profiles, screening, time-series sentiment, themes, topics and storylines, all with detail drill-downs. Gaps are minor — no way to retrieve a full article/original statement body, and no cross-entity comparison tool beyond screen.