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372,005 tools. Last updated 2026-08-02 13:39

"author:279458179" matching MCP tools:

  • Look up PubMed IDs from partial bibliographic citations. Useful when you have a reference (journal, year, volume, page, author) and need the PMID — deterministic citation matching, more reliable than free-text search for structured references. Each citation must include at least journal or year (ECitMatch primary-keys on journal+volume+page; author-only or volume-only inputs guarantee no match); more fields = better match accuracy.
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  • Start (or resume) Stripe Connect onboarding so this account can RECEIVE author royalties. Returns a one-time onboarding_url the human author must open in a browser to complete KYC. Required before a book can be published: an author with no payouts-enabled Connect account can save drafts but their books stay in draft until onboarding finishes. Payouts stay disabled until Stripe verifies the details — poll connect_status afterward.
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  • BROWSES/FILTERS THE CATALOG by metadata (author/title fragment, language, category, translation recency) — no content/topic matching. PICK THIS to see WHAT EXISTS by an author or in a tradition. Returns books with title, author, language, year, and translation progress. → For a relevance-ranked topic search use search_library; for passages on a theme use search_translations (exact words) or search_concept (by meaning).
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  • Self-description of this humanMCP server. Returns author, role, MCP endpoint, public web pages, and a short orientation. Safe to call without bootstrap_session — meant for first-contact discovery.
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  • Full metadata for one Flevy item, by content_id from search_content (e.g. "doc-1234" or "case-567"). Documents return the author with their credentials (headline, bio, LinkedIn, profile URL; pass the author name to search_content's author filter to list more of their documents), full description, editor summary, AI summary, and editorial review when available, page/slide count, price, FlevyPro inclusion, management topics, ranking badge, and the number of slide deep dives available. Case studies return the client situation, TL;DR, and summary. Call this before recommending an item so you can describe it accurately and cite the author's credentials, and share the returned flevy.com URL.
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  • Resolve a cover image URL for a book or author photo. Returns a direct HTTPS URL in the requested size (S/M/L). The Covers API always returns HTTP 200 — missing covers return a 1×1 placeholder GIF, not a 404 — so the identifier format is validated locally first: "id" must be numeric, "isbn" 10 or 13 digits, "olid" an edition OLID (OL…M) for target "book" and an author OLID (OL…A) for target "author". Identifiers with path separators or control characters, and author-by-ISBN lookups, are rejected before any request. URLs can be embedded in markdown as ![cover](url).
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  • Author, validate, deploy, and operate Shodai on-chain agreements.

  • Read and author HiveLearn courses, events, quizzes, certificates, resources, leaderboards, tracks.

  • Browse available icon collections. Returns prefix, name, icon count, author, license, and category. Use the prefix with search_icons or get_icons.
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  • Get a single tweet by URL. Author includes profile metrics when not trimmed. Warning: trim=true omits author. Credits: 1.
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  • Search SocialFetch docs for API/SDK questions. For response fields use docs_read (defaults to outline). For cross-platform author/timestamp naming, search `field crosswalk` or read /product/ask-ai/field-crosswalk.
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  • Get a WindowsForum thread's metadata by id — title, author, reply and view counts, dates, and canonical URL; use fetch or get_thread_posts to read its content.
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  • Read a single research author by author UUID. Use this tool when a user wants profile details for a specific research author returned by another research tool. The response includes author metadata, biography fields, profile URL, and visible sectors associated with the author. Missing, inactive, non-author, and hidden-sector-only authors return a generic not-found error.
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  • Search through a user's LinkedIn bookmarks using either keyword (text) search or semantic (meaning-based) search. Supports all list_bookmarks filters, full-text search via the q field, and semantic search via the vector_search_term field for natural language or topic-based queries. IMPORTANT: At least one of 'q', 'vector_search_term', or 'author' must be provided. If the user asks to find posts by a specific author (e.g., 'Show posts by John Doe', 'Find posts from Suresh sambantham'), use the 'author' parameter instead of putting the author name in the 'q' field. Use 'q' for searching post content, not for filtering by author.
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  • Fetch a work by Open Library Work ID (OL…W). Returns title, description, subjects, cover IDs, and linked author IDs for follow-up lookups. Works represent the abstract book concept independent of any specific edition. Note: author names are not included — use openlibrary_get_author or openlibrary_search_books for names.
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  • List works by an author. Returns titles, cover IDs, and work OLIDs for drilling into editions or details. Use openlibrary_get_author for author bio and details, or openlibrary_get_editions to explore specific printings.
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  • Look up a user's public profile by their username (the URL handle, not the display name). Returns display name, account type, verification status, counts of their published books and public annotations, and up to 5 recent published books. Useful for evaluating whether an annotation's author is credible, or for finding more books by the same author.
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  • List community feed posts, newest first. Use category to filter (e.g. "announcements"). Returns id, title, content, category, author, reply counts, timestamps.
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  • Search Most Recommended Books' human-curated catalog by book title or author name. Returns ranked matches with author, publication year, how many verified people recommend each book, the top recommenders, a sourced quote, and a buy link. Use this when a user asks about a specific book, an author's books, or wants recommendations matching a title they half-remember. For 'who recommends X?' prefer get_book_recommenders; for 'what does person X recommend?' prefer get_person_recommendations.
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  • LLM generates suggested assumptions for a goal edge (parent→child). Returns 2-4 assumptions with signposts and type classification. Author should review, edit, and accept relevant ones via goal-add-assumption.
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  • Fetch a single Lemmy post by numeric id from the specified instance (default lemmy.world). Returns title, body, author, score, comment count, and community.
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