"A server for finding research articles" matching MCP tools:

• search_webA

  Salesbot - B2B outreach LinkedIn MCP Server with CRM and emailA

  Use for general web research (company info, news, job portals). For LinkedIn profiles use search_linkedin_people; to read one company's own site use read_company_website. General-purpose Google search — returns organic results for any query. Unlike search_google_xray (LinkedIn-only), this searches the entire web. Useful for finding job postings on portals (jobs.cz, prace.cz, profesia.sk, indeed.com), company info, news, or any other web content. Results are NOT saved to contacts — use this for research and discovery. Capped at 4 calls per minute to protect the Serper/Google budget.

  ConnectorAPI key

• 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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• alphai_storiesA

  AlphAIA

  Stories: market events that two or more publishers reported, each summarised by AlphAI from its articles. list=top (default) ranks the last 48 hours — importance (the feed's 1-10 scale, 7 and above) plus a coverage bonus, minus one point per 12 hours since the facts last changed, one slot per ticker — use it for 'what matters today'. list=latest pages every story newest-first by its latest article; follow next_cursor. Each card carries story_id, the summary's title and lead, importance, publishers, materials (articles) and summary_state (published / stale = new articles since the summary / preparing = no summary yet, texts are the lead article's). Call alphai_story with a story_id for the full summary — key facts with their sources, why it matters, the per-ticker read, open questions — and the articles behind it. Compared with alphai_trending, which ranks single articles, this ranks events and only those with independent coverage; most feed items are carried by one outlet and never become a story. Summaries are AI-generated financial information for research, not investment advice.

  ConnectorAPI key

• alphai_storyA

  AlphAIA

  One story by story_id — the value every news item carries, or an id from alphai_stories. Returns the summary AlphAI wrote from the articles (title, lead, why_it_matters, up to six key_facts each with the publisher and the source_uid of the article it was read from, ticker_takes with a direction per ticker, uncertainties the sources leave open), the story's importance and publisher count, and the first page of its articles (materials: uid, publisher, time, URL, relevance) — open any of them with alphai_article. status tells you what the id is: found (a story), merged (folded into another story; call again with redirect_to), not_a_story (one publisher carried this event, so there is no summary; article names the row for alphai_article — the normal answer for most feed items). summary_state published / stale (new_materials articles joined since the summary; a rewrite is queued) / preparing (no summary yet; texts are the lead article's). Every figure in the summary appears in a source article; it is AI-generated financial information for research, not investment advice. Article bodies are never returned.

  ConnectorAPI key

• get_finding_remediationA

  RoutebaseA

  Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.

  ConnectorAPI key

• withdraw_findingA

  northreachB

  Retract support for a finding you authored, with a reason. Original content remains visible and labeled withdrawn. Identical retries are safe; this does not claim the finding is disproven.

  ConnectorNo auth

• list_glossaryA

  raumnebenanA

  Lists published glossary entries covering product management, agile delivery, user research, and product thinking terminology, including term names, comprehensive definitions, and metadata. Returns all glossary entries in one unpaginated response. Use it for term definition questions ("what is X?"). For articles explaining or applying a method, prefer search_articles.

  ConnectorNo auth

• search_reviewsA

  Cochrane Medical ReviewsA

  Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).

  ConnectorNo auth

• 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.

  ConnectorNo auth

• search_research_notesA

  SearchShop AIA

  Search SearchShopAI's Research Notes blog — data studies, playbooks, and field notes on agentic commerce (AI attribution, MCP, AI catalog accuracy, ChatGPT ads). Returns matching articles with titles, summaries, and URLs. Use when asked what SearchShopAI has written or published about a topic.

  ConnectorNo auth

• search_research_notesA

  La Luer — AI Skincare CommerceA

  Search SearchShopAI's Research Notes blog — data studies, playbooks, and field notes on agentic commerce (AI attribution, MCP, AI catalog accuracy, ChatGPT ads). Returns matching articles with titles, summaries, and URLs. Use when asked what SearchShopAI has written or published about a topic.

  ConnectorNo auth

• pubmed_convert_idsA

  pubmed-mcp-serverA

  Convert between article identifiers (DOI, PMID, PMCID). Accepts up to 50 IDs of a single type per request. Only resolves articles indexed in PubMed Central — for articles not in PMC, use pubmed_search_articles instead.

  ConnectorNo auth

• search_research_notesA

  Apostle — AI Men's Skincare CommerceA

  Search SearchShopAI's Research Notes blog — data studies, playbooks, and field notes on agentic commerce (AI attribution, MCP, AI catalog accuracy, ChatGPT ads). Returns matching articles with titles, summaries, and URLs. Use when asked what SearchShopAI has written or published about a topic.

  ConnectorNo auth

• list_articlesA

  Traditional Chinese (zh-TW) Taiwan Community ForumA

  List published articles from this Traditional Chinese (zh-TW) Taiwan community forum (PTT-style boards for news, sharing, and user-created topics; the largest collection is a news-digest board covering primarily late 2025 to early 2026). To list a specific board, provide BOTH forumName and subForumName (providing only one is rejected). Otherwise pass sort=HOT for recently trending articles (engagement-ranked over a recent time window; may return an empty page when there are no recently posted articles), or omit sort (or sort=LATEST) for the most recent. sort must be HOT or LATEST. Content is truncated; use get_article for full content.

  ConnectorNo auth

• search_corpusA

  corpusA

  Full-text search over the Wheel of Heaven corpus: wiki encyclopedia entries, the precessional-ages timeline, digitized library source texts (Genesis, Atrahasis, Gilgamesh, Enuma Elish, the Raëlian books, and ~120 more), research articles, and newsroom dispatches. Returns ranked matches with slugs and URLs; fetch full content with get_entry (wiki/timeline/articles/news). Every result is CC0 and citable by its html URL.

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• list_articlesA

  LoopingAgentA

  List articles published on loopingagent.com (English technical blog: agentic AI, MCP, LangGraph, TypeScript, blockchain). Returns slug, title, category and description for each. Use search_articles to find articles on a topic, and get_article to read one in full.

  ConnectorNo auth

• wikipedia_search_nearbyA

  wikipedia-mcp-serverA

  Find Wikipedia articles about places near a geographic coordinate. Returns articles sorted by distance from the query point, with titles, short descriptions, Wikidata QIDs, page IDs, coordinates, and distance in meters. Useful for "what is notable near X?" research workflows. Only articles carrying their own coordinate tag (GeoData, set on the article itself — not the Wikidata item's coordinate) are returned, and that tag is what places and measures each result; not all articles about locations are geotagged, and an article whose tag is wrong appears where the tag puts it, which its description usually makes plain.

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• list_articlesA

  self-hosted-aiA

  List all blog articles. No TF-IDF computation — pure database listing. Use to browse the full corpus, paginate through articles, or filter by tag. For full-text semantic search use search_blog instead.

  ConnectorNo auth

• list_articlesA

  Sovereign AI BlogA

  List all blog articles. No TF-IDF computation — pure database listing. Use to browse the full corpus, paginate through articles, or filter by tag. For full-text semantic search use search_blog instead.

  ConnectorNo auth

• openalex.works.searchA

  apibaseB

  Search 250M+ scholarly works (journal articles, books, preprints, datasets) by title, abstract, or full text. Returns OpenAlex ID, DOI, title, authors, publication year, open-access status, citation count, and primary research topic. Complements crossref.works_search (which returns publisher-registered bibliographic metadata) with OpenAlex's broader citation graph and topic classification. Call openalex.get_work with a result ID or DOI for full detail. Data: api.openalex.org, no auth required, CC0 metadata.

  ConnectorNo auth

• paper_searchA

  UnstuckA

  Search scholarly papers, articles, books and preprints by topic or title: title, authors, year, journal or venue, DOI, link, type and citation count (metadata only, no abstracts). Use it to find sources or citations for a research question. Data source: Crossref. Price: $0.002 per successful call; failed calls are free. Free to try: a few calls a day without a key.

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