numenews
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AlicenseNot gradedqualityCmaintenanceEnables LLM agents to discover news sources, list articles, parse and extract article text, search news, and perform NLP analysis such as keyword extraction and summarization.MIT- FlicenseBqualityDmaintenanceFetches news articles from Google News, vectorizes them locally using ChromaDB, and enables semantic search through natural language queries.2-
- AlicenseNot gradedqualityBmaintenanceEnables agents to discover feeds for a site, retrieve dated feed items as clean JSON, and perform keyless news searches across Google News and Bing News with deduplication and publisher attribution.MIT
- FlicenseNot gradedqualityDmaintenanceEnables fact-checking of news headlines using Google Gemini AI and web search verification, and retrieves trending news topics from RSS feeds with comprehensive multi-source analysis.1-

typesearch-mcpofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to search recent news worldwide by topic, country, and language, offering ranked results with relevance scores, article excerpts, content retrieval, similar-story discovery, and coverage checks.1MIT- FlicenseNot gradedqualityBmaintenanceEnables searching and fetching news articles with configurable date ranges, returning structured, sourced evidence for daily mineral-rights briefings.-
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose: build_forecast, save_pattern, get_history, fetch_news, extract_numbers, compute_numerology, find_patterns, check_master_numbers, and query_qdrant target different domain actions. The descriptions distinguish overlapping-sounding tools (e.g., compute_numerology vs extract_numbers vs check_master_numbers) by scope and input/output.
Names consistently follow a verb_noun pattern (build_forecast, save_pattern, get_history, fetch_news, extract_numbers, compute_numerology, find_patterns, check_master_numbers, query_qdrant). The only noun-only name is query_qdrant, which still fits the pattern loosely as a verb-mechanism combination.
Nine tools is well-scoped for a numerological news analysis pipeline. Each tool covers a distinct stage (ingest, extract, compute, find, save, query, forecast) with no obvious redundancy or missing pieces at the count level.
The surface covers fetch/extract/analyze/save/query/forecast, which is a complete lifecycle for the domain. Minor gaps include no direct delete or update for stored patterns/news, and no batch operations, but agents can work around these via query and re-save.