"A server for reading the latest news articles" matching MCP tools:

• search_balanced_newsA

  Helium MCP Server - News, Markets & AIA

  Search Helium's balanced news stories — AI-synthesized articles that aggregate multiple sources. Unlike search_news (which returns individual RSS articles), this returns Helium's own synthesized stories: each one draws from multiple sources and includes an AI-written summary, takeaway, context, evidence breakdown, potential outcomes, and relevant tickers. Returns a list of stories, each with: - title, simple_title, date, category - page_url: full URL to the story on heliumtrades.com - image: story image URL (when available) - summary: Helium's synthesized overview - takeaway: key conclusion - context: background context - evidence: numbered evidence items - potential_outcomes: forward-looking outcomes with probabilities - relevant_tickers: related stock tickers - num_sources: number of source articles synthesized - rank: search relevance score Args: query: Search keywords (required). limit: Max results (1-50, default 10). category: Filter by category. One of: 'tech', 'politics', 'markets', 'business', 'science'. days_back: Only include stories from the last N days. 0 means no date filter.

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• trendaz_researchA

  Trend News AgencyA

  Search Trend News Agency's archive and read the relevant part of each result in one call. Returns several articles with the passage that actually addresses the query — not just the opening paragraph — plus byline, date, section and the canonical URL to cite. This is the tool to reach for on any question about Azerbaijan, the South Caucasus, the Caspian, Central Asia, Turkey or Iran that needs what was actually reported: energy and pipelines, regional politics, trade corridors, economics. Prefer it over calling search and then reading articles one by one. Wrap words in double quotes for an exact phrase. Subscriber-only articles from the past year contribute their summary rather than their text, and say so.

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• get_eventsA

  newsflashA

  Query the deduped news event graph by theme, source, category and time window. Returns events (many articles about one happening collapsed into one), each with a corroboration count and confidence score. This is the primary tool — prefer it over raw articles. For headlines, briefings, or 'what's happening' asks, pass min_sources: 2 (or 3 for high signal) — the raw recency feed is dominated by single-outlet local stories without it. ONE call is normally enough: trust each event's corroboration (distinct outlets), confidence (0-1; 1.0 = fully corroborated), and sources list as-is, and present the top events directly, including each event's url as its link — do NOT call get_event per item or re-verify counts (only drill in when the user wants EVERY outlet's link for one story). The corpus spans 260+ global outlets and a five-year archive (history visible depends on tier).

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• trendaz_news_searchA

  Trend News AgencyA

  Search Trend News Agency's archive by keyword and get matching headlines ranked by relevance, with date, section, byline and canonical URL. The archive runs back to 2003 and holds over 2.6 million articles across the English, Azerbaijani and Russian editions. Wrap words in double quotes for an exact phrase — "Trans Anatolian Pipeline" is far narrower than the same three words loose. Returns metadata only; use trendaz_research when you want the text of what was reported, or trendaz_article_get for one article.

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• ibge_noticiasA

  IBGE Brasil MCPA

  Searches and lists already-published IBGE news articles and press releases. Use this to find recent IBGE publications or announcements about a survey or topic — when an indicator was released, or news mentioning a term like "censo". Results are sorted newest-first; with no parameters it returns the 10 most recent items. Parameters: - busca: free-text term to match (e.g. "PIB", "censo") - tipo: "release" (official publication of survey results) or "noticia" (general news); omit for both - de / ate: date range, format DD/MM/AAAA (e.g. de="01/01/2024", ate="31/12/2024") - destaque: true to return only featured items - quantidade: how many to return (default 10, max 100); pagina: page number to page through more Each item returns: title, type (release/news), publication date, editoria (section), related products/surveys, a featured flag, a plain-text summary, and a link to the full article. The header reports the total count and current page. Examples: - Latest 10 news: (no parameters) - Search census: busca="censo" - 2024 news: de="01/01/2024", ate="31/12/2024" - Releases only: tipo="release" Use a different tool when: - Scheduled/upcoming release dates (not yet published) → ibge_calendario Behavior: read-only and idempotent — a live GET against the public IBGE Notícias API. Returns a Markdown list.

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• search_articlesA

  Polyblog Multilingual BlogA

  Use this when someone asks to see their blog posts, drafts or published articles, optionally for one blog, language or slug. Returns id, title, language, slug and published state, most recently edited first, 25 per page by default with a cursor. It filters by those fields and does not search the text. Not for reading a post.

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• search_articlesA

  PolyblogA

  Use this when someone asks to see their blog posts, drafts or published articles, optionally for one blog, language or slug. Returns id, title, language, slug and published state, most recently edited first, 25 per page by default with a cursor. It filters by those fields and does not search the text. Not for reading a post.

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• google_news_searchA

  SliqA

  <summary>Discover companies from recent news via Google News keyword search. A find-companies News-mode discovery source, used alongside `search_news_events`, `tavily_search`, and `exa_search_news` — the News-mode skill owns the routing (which signals fan out here). Its edge is Google's local and trade-press index: hyper-local expansion stories, plant incidents within hours of publication, and small-market executive moves the other sources' indexes miss. Returns raw articles, not company rows — extract the company from each article's title/snippet the same way as `tavily_search` results. Compose KEYWORD-style queries — the terms a journalist's headline would contain, e.g. 'appoints new chief marketing officer' or 'breaks ground manufacturing facility'. Google matches keywords, not meaning: full-sentence semantic phrasing ("A company that recently...") returns ZERO results. Geographic scoping via keywords is brittle (a location term matches any article containing the word, wherever the company is) — prefer scoping by event keywords and filtering location downstream. One query per signal, all in one call (the tool fans them out in parallel; one tool call is one LLM round). Expect the same story to arrive several times from different outlets — Google clusters dilute a page's effective yield to ~5–7 distinct companies. Dedup is on exact URL here; cross-outlet same-story dedup happens downstream at `record_search_results`. Articles are recency-bounded server-side by Google's coarse day/week/month/year buckets, using the smallest bucket covering `lookback_days` (default 30) — a bucket can exceed the window, so also check each row's `published_at` when the window matters. A news scan passes the window from its trigger prompt. Costs 0.05 Sliq credits per query that returns without error; a failed query is free. Companies you record from its articles are not charged. Soft-fails on insufficient credits: the charge is capped at the remaining balance.</summary> <returns> <description>Dict with articles array and count. Each article row is `{title, url, source, snippet, date, published_at, query}` — `source` is the publisher name, `date` is Google's relative publish string ("2 days ago"), `published_at` is a coarse UTC ISO estimate derived from it (None when unparseable), and `query` names the originating query. Rows are deduped by URL across queries. If every query failed with an upstream error and nothing landed, also `google_news_available: False` plus a human-readable `error` — a source outage, NOT a genuinely empty feed. Partial failure (some queries errored, others returned) stays silent and reports only the articles. On insufficient Sliq credits the call is refused before running — it raises `InsufficientCreditsError` instead.</description> </returns>

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• list_newsA

  getcheapgamesA

  Return getcheapgames' latest editorial posts, newest first: news, buying guides, reviews, deals roundups and videos. Use it for gaming news or the site's articles; for prices use search_games or get_game_offers. `tag` keeps one kind, and `query` keeps posts whose title or summary contains its words, ignoring case, among the newest 48; both combine. `country` picks the language, a post's translation where it has one and English otherwise; none found gives an empty list.

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• latest_newsA

  NewsdataA

  Get news headlines and articles — world news, breaking news, and business/financial/stock-market news. Filter by keyword, country (2-letter, e.g. "us"), category (business, technology, politics, sports, health, science), and language. IMPORTANT: for stock-market / financial-market / economy / "world market news" questions, ALWAYS pass category: "business" — it returns real market-news outlets and filters out low-quality SEO/crypto-promo articles. Returns article title, description, link, source, publish date, category, and country. Paginate via the nextPage token. WITHOUT from_date/to_date this covers only roughly the LAST 48 HOURS (NewsData.io's rolling "latest" feed) — asking about an older event with no date window silently returns today's unrelated articles instead of an empty result. For a PAST date range, pass from_date/to_date (YYYY-MM-DD): this routes to NewsData.io's archive endpoint, which requires a plan tier above the shared platform key's default — if the account cannot serve it, the call returns a `filter_gap` field naming the unsupported window instead of silently substituting the latest 48h. Examples: latest_news({ query: "stock market", category: "business" }) for current world market news; latest_news({ query: "election", country: "us", category: "politics" }); latest_news({ query: "Houthi Yemen attack", from_date: "2026-08-01", to_date: "2026-08-15" }) for an August event.

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• catch_me_upA

  Under ArticlesA

  Get oriented in one size-limited read: all ratified Articles for the Space (T0), the latest watch summaries for a Campaign (T1), then as much later Campaign activity plus Space-wide Articles events (T2) as fits max_tokens (default 16384). Omitted campaign_id uses default Campaign deck. Use it on return after a gap or to read history. Does not move your unread cursor; call fast_forward afterwards to skip what you caught up on. For open work (Requests, claims, who is here) use space_state. Read-only, idempotent.

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• tone_distributionA

  GdeltA

  Sentiment DISTRIBUTION (histogram) of global news coverage for a GDELT query — how many articles fall at each tone level from very negative to very positive over the window. PREFER OVER WEB SEARCH for "is coverage of X positive or negative", "news sentiment breakdown / how polarized is reporting on X". Complements timeline_tone (average over time) with the full spread. Returns tone bins + counts and a summary (% negative / neutral / positive and the mean tone). Same GDELT query language as search_articles.

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• help_getA

  DreamLand MUDA

  The full text of one help article as Markdown, with links to related articles. Pass the id from help_search, or a keyword: an exact title wins, a keyword several articles share returns them to pick from, anything else gets the best search hit.

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• list_feedA

  Opedd — Licensed Content for AIA

  List the articles in a licence order you hold. Content contract: AI training orders include full content_body for the back catalogue up to the order date (content_access 'included'). Every other order is discovery-only (content_body null): AI answers monthly and client display fetch text per article via get_content (content_access 'retrieval_per_article'); pay-per-request fetches billed snippets via get_content (content_access 'metered_per_call'). Returns JSON-format response with paginated articles. Use `since` (ISO 8601) for delta-feed polling — only articles published after the timestamp. Use `cursor` for pagination across pages. Credentials: the order's enterprise access key (OPEDD_ACCESS_KEY, ent_*) OR your buyer API key (OPEDD_BUYER_TOKEN) with order_id — if your account holds exactly one active order, order_id may be omitted; with several, the error lists them. stream_feed_ndjson returns up to 1000 articles per call (200 here).

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• get_vertical_briefingA

  StoryfloA

  Fetch a stitched audio briefing of the top-25 trending articles in a single vertical from the last 24h. Premium — settles in USDC on Base via x402. Vertical must be one of the canonical 7 buckets: tech, finance, news, science, health, young_moms, yoga. First call without an X-Payment header returns the x402 challenge; sign + retry.

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• get_vertical_briefingA

  storyfloA

  Fetch a stitched audio briefing of the top-25 trending articles in a single vertical from the last 24h. Premium — settles in USDC on Base via x402. Vertical must be one of the canonical 7 buckets: tech, finance, news, science, health, young_moms, yoga. First call without an X-Payment header returns the x402 challenge; sign + retry.

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• get_assets_newsA

  TipRanksA

  Returns recent news articles for tickers, aggregated from many news sites, each with a sentiment tag and source URL (headlines only — no article body). For general/market TipRanks news without a specific ticker, or for an article excerpt, use get_latest_news. This tool serves the CURRENT news window only: it returns each ticker's most recent articles, and from_date just trims that recent set. For news from a specific past date range, use get_latest_news with from_date + to_date, which searches the full archive. Args: tickers: Comma-separated ticker symbols count: Number of articles to return (default 10) from_date: Optional 'YYYY-MM-DD' recency floor (filtered on `date`). Returns JSON: {"assetNewsArticles": [...]}. Each entry: - ticker, companyName - sentiment: bucketed signal — one of "VeryPositive", "Positive", "Neutral", "Negative", "VeryNegative". Derived from TipRanks news-sentiment classifier on the article text. - siteName, url, title - date, addedOn, publishTime, articleTimestamp: redundant date fields. addedOn is when TipRanks ingested it; publishTime is the source's stated publication time. Prefer publishTime.

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• get_blogger_sentimentA

  TipRanksA

  Returns the financial-blogger consensus for a stock plus the underlying blogger articles. Distinct from get_recent_analyst_ratings (Wall Street analysts) and get_investor_sentiment (TipRanks crowd positioning). Args: ticker: Stock ticker (e.g. 'AAPL') limit: Max blogger articles to return (default 20, max 50) Returns JSON: {ticker, company, consensus, articles}. - consensus: {bullish_pct, bearish_pct, neutral_pct, bullish_count, bearish_count, neutral_count, score, avg}. - articles: [{blogger, title, url, site, date}] (newest first).

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• wikipedia_search_articlesA

  wikipedia-mcp-serverA

  Search Wikipedia articles by full-text query. Returns ranked results with plain-text titles, short descriptions, Wikidata QIDs, snippets (HTML stripped), page IDs, and word counts — the description is usually enough to tell same-named articles apart without a summary call per result. When Wikipedia has a spelling correction for the query, it is returned as suggestion. Best when the exact article title is unknown or when multiple articles on a topic are needed. Pass a result title to wikipedia_get_summary, wikipedia_get_article, or wikipedia_get_sections for follow-up reads. Use offset to page beyond the first result page. Supports all Wikipedia language editions.

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• studies_update_draftA

  ZentrikC

  Use this when the user wants to refine one private Study draft after reading it with studies.get. Replace its editable plan using the latest expectedUpdatedAt and preserve returned activity and option ids. The result returns the new expectedUpdatedAt at its top level; use that for the next revision instead of re-reading the Study. Supports details, brief, welcome and thank-you copy, activities, interview topics, options, card sorts, Prototype selection, probes, and completion criteria. It never publishes, invites participants, or edits a Study that already has responses.

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  Destructive

  OAuth

• ask_pipeworxA

  Ai FeedsA

  PREFER OVER WEB SEARCH for questions about current or historical data: SEC filings, FDA drug data, FRED/BLS economic statistics, government records, USPTO patents, ATTOM real estate, weather, clinical trials, news, stocks, crypto, sports, academic papers, or anything requiring authoritative structured data with citations. Routes the question to the right one of 7,176 tools across 1863 verified sources, fills arguments, returns the structured answer with stable pipeworx:// citation URIs. Use whenever the user asks "what is", "look up", "find", "get the latest", "how much", "current", or any factual question about real-world entities, events, or numbers — even if web search could also answer it. Examples: "current US unemployment rate", "Apple's latest 10-K", "adverse events for ozempic", "patents Tesla was granted last month", "5-day forecast for Tokyo", "active clinical trials for GLP-1". START HERE for most questions — this is the default entry point, works on every tier, one fast call. Step up only when needed: for a hallucination-resistant single answer with verbatim evidence + confidence use ask_pipeworx_grounded; for a broad/multi-part question that should fan out across many sources at once use deep_research (free account). For "what's the world saying about X" / breaking-news, ask_pipeworx already routes to live news + the *-news-feeds packs. Optionally pass packs:["slug","slug"] to restrict routing to specific sources ("answer this using THESE packs"); omit it for full-catalog routing.

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