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650,497 tools. Updated 2026-10-13 18:03

"Semantic Scholar" matching MCP tools:

  • Resolve scholarly identifiers to structured CSL JSON metadata (title, authors, journal, year, identifiers). Use when the user wants raw bibliographic data to inspect, transform, or feed into another tool — not a formatted citation. Common single-shot conversions: PMID → PMCID, arXiv → DOI, ISBN → CSL JSON, WHO IRIS URL → structured metadata. Accepts DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, NASA ADS bibcode, or WHO IRIS URL, with or without prefixes (PMID:, arXiv:, ISBN hyphens, https://doi.org/...). Pass a single identifier or a comma/newline-separated batch — one round trip per call. Returns: a JSON array of CSL items, each with id, type, title, author[], issued.date-parts, container-title, DOI/PMID/PMCID/ISBN/ISSN/URL when available. Use formatCitation instead when the user wants a finished citation string in a specific style; use exportCitation when they want a downloadable bibliography file. Read-only and idempotent — safe to retry. Works anonymously against the public Scholar Sidekick API (rate-limited free tier); set SCHOLAR_API_KEY (a free ssk_ key from https://scholar-sidekick.com/account) for higher limits, or RAPIDAPI_KEY for paid RapidAPI tiers. Rate limits follow your tier; the underlying REST API caches repeated identical requests and surfaces cache state in the x-scholar-cache response header.
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  • Resolve scholarly identifiers to structured CSL JSON metadata (title, authors, journal, year, identifiers). Use when the user wants raw bibliographic data to inspect, transform, or feed into another tool — not a formatted citation. Common single-shot conversions: PMID → PMCID, arXiv → DOI, ISBN → CSL JSON, WHO IRIS URL → structured metadata. Accepts DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, NASA ADS bibcode, or WHO IRIS URL, with or without prefixes (PMID:, arXiv:, ISBN hyphens, https://doi.org/...). Pass a single identifier or a comma/newline-separated batch — one round trip per call. Returns: a JSON array of CSL items, each with id, type, title, author[], issued.date-parts, container-title, DOI/PMID/PMCID/ISBN/ISSN/URL when available. Use formatCitation instead when the user wants a finished citation string in a specific style; use exportCitation when they want a downloadable bibliography file. Read-only and idempotent — safe to retry. Works anonymously against the public Scholar Sidekick API (rate-limited free tier); set SCHOLAR_API_KEY (a free ssk_ key from https://scholar-sidekick.com/account) for higher limits, or RAPIDAPI_KEY for paid RapidAPI tiers. Rate limits follow your tier; the underlying REST API caches repeated identical requests and surfaces cache state in the x-scholar-cache response header.
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  • Get recent AI/ML research papers from one of three feeds, chosen with the source argument. arxiv_recent is the firehose: newest arXiv submissions in cs.AI / cs.LG / cs.CL / cs.CV by submission date, refreshed daily at 11:30 UTC. trending is citation-ranked from Semantic Scholar across five fan-out queries, deduped, refreshed daily at 11:00 UTC. hf_daily is Hugging Face editor-curated with community upvotes and discussion counts, refreshed daily at 14:15 UTC. Pick arxiv_recent for what is brand new, trending for what is influential, hf_daily for what practitioners are discussing. License: arXiv and Semantic Scholar permit metadata use; the standard attribution block ships on every response.
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  • Search Scholar Feed's 600k+ CS/AI/ML paper corpus. Semantic (embedding) search by default, so it finds conceptually related work even when the wording differs. EVERY PARAMETER DOCUMENTS ITS OWN BEHAVIOUR AND COVERAGE LIMITS — read the ones you intend to use; this description covers only what no single parameter can tell you. RETRIEVAL LIMIT: semantic ranking favours recent, stylistically-matched papers and routinely MISSES the old high-citation anchor of a field (H2O for KV eviction, GRIT for unified embedding+generation). To reach a field's canonical work, read the top-5 abstracts for repeated baseline mentions ('we compare against X') and look that name up directly, or call get_foundational_lineage. THREE UNRELATED NOTIONS OF IMPACT, easily confused: proven citations (sort='impactful', min_citations) | a ~90-day forecast percentile that is NULL on older papers and therefore excludes them (sort='trending', impact_min) | GitHub adoption (sort='community', min_stars). YOUR LIBRARY IS MARKED INLINE on authenticated calls: each hit carries is_saved and is_read, and a hit you previously annotated carries note_text — your own earlier verdict. Read note_text INSTEAD of re-deriving a conclusion from the abstract; re-judging a paper you already ruled on is the most common way an agent wastes a research session. is_saved=false is a real measurement; on anonymous calls these keys are absent entirely, so never read a missing is_saved as false. Papers new to you are ranked exactly as before — nothing is demoted for being unseen.
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  • Search documentation with hybrid semantic (vector) and keyword (BM25) search. Use semanticWeight to choose keyword-only (0), semantic-only (1), or a blend; mid values fuse rankings with RRF. Supports Tiger Cloud (TimescaleDB), PostgreSQL, and PostGIS.
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  • Verify a pasted reference list (plain text, BibTeX or RIS) against Crossref, OpenAlex, DataCite, Semantic Scholar, arXiv, PubMed and DBLP, plus Retraction Watch. Flags references that cannot be found (possibly fabricated), retracted papers and DOI mismatches. One check per day without an account; sign in for more.
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Matching MCP Servers

Matching MCP Connectors

  • Search Google Scholar for academic papers, citations, and author profiles.

  • Catch AI-fabricated citations (real DOI + fake title). Retraction, open-access, 10,000+ CSL styles.

  • Liveness + dependency probe. Returns ``{"status", "version", "components": {server, redis, postgres, semantic, distiller, graph, ollama}}``. ``semantic`` is the pgvector + embedder store. Optional deps report ``"disabled"`` when off and do not degrade overall status. Always cheap; safe to poll on a 10s interval. Used by Docker healthcheck and the ``/health`` HTTP route.
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  • Remove a paper from the authenticated user's Scholar Feed library. MUTATES the library. Idempotent: removing a paper that isn't saved leaves it unsaved. Note: the saved library is a superset of all collections, so un-saving a paper ALSO removes it from every collection it was in. To keep it filed in a collection, use remove_from_collection instead (that leaves the paper saved). Requires SF_API_KEY.
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    Destructive
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  • Get full metadata for a single paper by ID. Accepts a Semantic Scholar paper ID, or a prefixed ID like "DOI:10.1145/3292500", "arXiv:2106.15928", or "CorpusId:215416146". Returns abstract, TLDR summary, authors, venue, citation/reference counts, fields of study, and open-access PDF. Keyless.
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  • Return verified public profile links for Gabriel: website, Google Scholar, ORCID, GitHub, LinkedIn, ResearchGate, Scopus, Semantic Scholar, X and Stack Overflow. These are links only; this tool does not follow accounts or send messages.
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  • Find a paper by any external identifier: OpenArx ID (oarx-…), DOI, arXiv ID, Semantic Scholar Corpus ID, DBLP ID. arXiv-style DOIs (10.48550/arXiv.<id>) are auto-resolved to the underlying arxiv_id even if the doi field is not stored. An identifier resolves to one specific version of a document, not to a mutable current state, so a reference cannot silently come to mean different text.
    ConnectorAPI key
  • Search the user's memories. Default mode is 'hybrid': blends semantic (cosine over Vectorize) and keyword (BM25 over SQLite FTS5) hits via Reciprocal Rank Fusion (k=60). Semantic catches paraphrases; keyword catches exact-string hits (IDs, dates, code snippets). Pass mode:'semantic' or mode:'keyword' to run just one. Content defaults to the LLM-optimized (compressed) form when available (raw:true to invert). Excludes forgotten + superseded. Optional filters narrow after retrieval: tags (AND), written_by, session_id, and/or since/until (ms epoch).
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  • Retrieve verifiable academic and engineering literature for a technical topic so a claim can cite a resolvable DOI instead of a vendor blog post. Queries Semantic Scholar (citation graph, abstracts, open-access PDFs) and the arXiv preprint index, merges duplicates, and ranks by citation count then recency. Returns title, authors, year, DOI / arXiv URL, citation count, and an extractive key finding taken verbatim from the abstract. Keyless; set SEMANTIC_SCHOLAR_API_KEY to escape the shared anonymous rate limit.
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  • List or search files. Optional query triggers semantic search. Supports section, tags, plan_status, limit, cursor filters.
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  • Save a paper to the authenticated user's Scholar Feed library (bookmark). MUTATES the library and feeds the user's personalization — saved papers are the strongest signal in the For You feed and the email digest. Idempotent: calling it again on an already-saved paper leaves it saved. Requires SF_API_KEY. To file it into a named collection in one step, use add_to_collection (that also saves).
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  • Ad-hoc semantic search of memories (POST /search/semantic). Use for specific questions during a task (e.g. 'how is authentication implemented?'), distinct from recall which builds the full startup context. Uses OpenAI embeddings (20 req/min).
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  • Fetch full details for one academic paper by Semantic Scholar paper ID, DOI (e.g. "10.1038/nature14539"), or ArXiv ID (e.g. "ARXIV:1706.03762"). Returns title, full abstract, an AI-generated one-sentence TLDR summary, all authors, venue, fields of study, citation and reference counts, and open-access PDF link when available. Call semanticscholar.papers_search first to discover a paper_id from a text query. Data: api.semanticscholar.org, no auth required.
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  • Search 200M+ academic papers on Semantic Scholar by keyword or exact title. Returns titles, authors, year, venue, CITATION COUNTS, DOI, and open-access PDF links. PREFER for "how many citations does <paper title> have", "citation count for <paper>", "how cited is <paper>" — search the title and read citationCount off the match. Optionally filter by year range and field of study. Keyless.
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  • Search Google Scholar for academic papers, citations, and scholarly articles. Returns results with titles, authors, publication info, citation counts, and links to PDFs. Use cites parameter to find papers citing a specific work, or cluster to find all versions of a paper. For US court opinions and case law, use google_scholar_cases instead.
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  • Search memories in Memra by semantic similarity. Returns ranked results by relevance. Replaces memra_search.
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  • Citation lookup and reference list for a paper. Given a DOI, arXiv id, OpenAlex id, or PMID, returns its references (the works it cites) and its cited-by list (recent works that cite it), plus full metadata and citation count — for bibliography building and citation lookup. Keyless via OpenAlex and Semantic Scholar. [$0.03/call]. Params — id: arXiv id, DOI, OpenAlex id, or PMID; doi: alias for id (DOI form); ref_limit: max references (0-100); cite_limit: max citing works (0-100) Example params: {'doi': '10.48550/arXiv.1706.03762'}
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