"Crawling News from Official Journals" matching MCP servers:

Provides news sentiment scores and media volume trends for any topic, enabling AI assistants to analyze whether news coverage is positive or negative.

Enables querying a local SQLite database of curated RSS/Atom/RDF feeds through tools for latest headlines with filters, keyword search, cross-outlet coverage comparison, and source/freshness listing. Items are kept in their original language so an LLM can translate, summarize, and compare framing at query time.

Enables AI assistants to fetch news categories and hot news/tweets across various topics like crypto, DeFi, and AI.

Connects real-world news to Polymarket prediction markets by matching headlines to relevant markets with live odds. Read-only by default with optional trading capabilities.

Provides MCP tools to fetch and search AI, Malaysian, and Germany SWE job-market news briefings, retrieve article content and Hacker News discussions, and perform web search and deep research.

Enables AI assistants to fetch real-time news from Google News RSS feeds with support for headlines, categories, location-based queries, and advanced search operators. Features automatic URL decoding, concurrent processing, and intelligent caching for optimized access to global news content.

A Python MCP server for fetching and summarizing news articles from the Boring News API by date, category, tags, people, and similarity.

MCP server for global news monitoring, media analysis and sentiment tracking via WorldNewsAPI — full-text search across 150+ countries, German/English sentiment analysis, top headlines, GL briefings, newspaper front pages and geo-search. API key required.

Fetches news articles from Google News, vectorizes them locally using ChromaDB, and enables semantic search through natural language queries.

Fetches, summarizes, and analyzes Turkish news from multiple RSS sources using NLP techniques.

Fetches recent AI news from curated RSS feeds, summarizes them with OpenAI, and caches results in AWS DynamoDB for efficient access.

An unofficial, read-only MCP server that lets AI agents pull current Persian-language headlines and article text from six outlets — Mehr, Khabaronline, Hamshahri, Tabnak, Zoomit and Digiato. It exposes latest items per source and category, a time-merged overview, cross-source keyword search, and full story bodies.

Enables fetching and searching real-time finance news from major RSS feeds like Bloomberg, WSJ, CNBC, Seeking Alpha, MarketWatch, and Financial Times.

An MCP server that gives any agent real-time news plus the contextual intelligence to use it well — tone distribution, emerging stories, narrative shifts, spike alerts, and tone-over-time charts — powered by Overtone's publisher network. Works with any MCP-compatible client: Claude Desktop, Claude Code, Cursor, Windsurf, Codex, Kimi K2, and more.

Enables Claude to search, browse, and read more than 20 million digitized historical US newspaper pages from the Library of Congress's Chronicling America archive, covering the 1700s through 1963. Queries can be filtered by date range, state, newspaper, or front pages only, and results include full OCR text with citations and links back to each scan and PDF.

Enables monitoring Bangladeshi newspaper headlines and articles via MCP, with tools to scan recent coverage, compare story presence across outlets, and search Prothom Alo's archive in Bengali or English.

Enables AI agents to fetch and search news from multiple sources including RSS/Atom feeds, HackerNews, and GDELT global news intelligence without requiring an API key.

Enables access to News Api14 for searching and retrieving news articles, publishers, and trending topics with filtering by country, language, category, and date.

Enables MCP clients to retrieve live European technology news from public RSS/Atom feeds, with ranked top stories, regional and topic filtering, keyword search, per-outlet feeds, and operational briefings without API keys.

Search and retrieve news articles and trending keywords from Google News and Google Trends. Summarize articles and extract keywords using optional NLP and LLM Sampling to get concise insights.