mcp-news-server
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- FlicenseBqualityDmaintenanceFetches news articles from Google News, vectorizes them locally using ChromaDB, and enables semantic search through natural language queries.2-
- FlicenseNot gradedqualityDmaintenanceFetches news from trusted global sources using NewsAPI and RSS feeds, enabling search, headline retrieval, and source listing.-
- AlicenseAqualityDmaintenanceEnables fetching daily news summaries from multiple RSS feeds, with tools to add, remove, and list news sources.46 npm1ISC
- FlicenseNot gradedqualityDmaintenanceProvides tools for fetching real-time news and performing AI-powered sentiment analysis and summarization using Mistral AI. It enables users to analyze news trends and extract structured insights through natural language queries.-
- FlicenseNot gradedqualityDmaintenanceAutonomous news intelligence system that fetches articles from 20+ tech sources, ranks them with AI, generates summaries in English and Hindi, and delivers a curated email digest daily, exposed as an MCP server for interaction via any MCP-compatible client.-
- AlicenseAqualityCmaintenanceEnables AI to manage RSS subscriptions, fetch and summarize news, and organize results into tools like Notion.96 npm3MIT
TDQS
Scored across 9 tools
Most tools have distinct purposes: fetching, deduplication, sentiment analysis (individual and batch), summarization, full content retrieval, and trend analysis. The two duplicate detection tools (kopya_kontrol and kopyalari_bul) are similar but serve different granularities; descriptions help differentiate them.
All tool names are in Turkish snake_case, but the pattern varies: some are noun_verb (haber_cek), others are adjective_noun (benzersiz_haberler) or combined (tam_icerik_al). While the naming is readable and descriptive, the structural inconsistency lowers the score.
With 9 tools covering core news operations, the count is well-scoped. Each tool addresses a distinct need without overlap or bloat, making the set appropriate for a news analysis server.
The tool surface covers key workflows: fetching, deduplication, sentiment analysis (batch and single), summarization, full content extraction, and trend analysis. Missing are search or source management, but core functionality is solid.