"Academic paper search and research methodology analysis tool" matching MCP tools:

• search_google_scholarA

  developer-tools-mcp-serverA

  Search Google Scholar for computer science research papers, citations, and academic publications. Returns paper title, authors, publication details, citation count, and link to paper. Use for finding research on CS topics, reviewing state-of-the-art, or citation tracking.

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• search_google_scholarA

  Developer Tools MCP ServerA

  Search Google Scholar for computer science research papers, citations, and academic publications. Returns paper title, authors, publication details, citation count, and link to paper. Use for finding research on CS topics, reviewing state-of-the-art, or citation tracking.

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• searchPapersA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Search quantum computing research papers from arXiv. Use when the user asks about recent research, specific papers, or academic topics in quantum computing. NOT for jobs (use searchJobs) or researcher profiles (use searchCollaborators). Supports natural language queries decomposed via AI into structured filters (topic, tag, author, affiliation, domain). Date range defaults to last 7 days; max lookback 12 months. Returns newest first, max 50 results. Use getPaperDetails for full abstract and analysis of a specific paper. Examples: "trapped ion papers from Google", "QEC review papers this month", "quantum error correction".

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• search_productsA

  Easyparser — Amazon Product & Seller DataA

  Search Amazon by keyword or a full search/category URL and get structured product listings: ASIN, title, price, rating, review count, Prime status, and badges (Best Seller, Amazon's Choice) for each result. Also returns the available refinement filters (category, brand, price range) with their IDs. Use this tool for market research, keyword analysis, and product discovery. If the user already has an ASIN or product URL, do NOT search — use get_product_detail directly. Each page costs 1 credit. One page typically returns 20-40 products, which is enough for most questions. Use sort_by and exclude_sponsored to improve result quality instead of fetching more pages. To filter by category or brand, first run one search and read the refinements field in the response to discover valid filter IDs, then pass them in refinements.

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• fetch_urlA

  HeistaA

  Drill into a specific URL after search surfaces it. Returns the extracted text content plus metadata. Internal routing: PDFs hit Anthropic Files API for OCR + structured extraction; HTML pages are fetched + text-extracted via readability-style stripping. Use for: verifying a verbatim quote from a Reddit thread, reading a primary source in full (earnings transcript, research paper), drilling into a vendor product page after search surfaced the URL. NOT for: discovering new URLs — use search/search_community/search_research first. This tool takes a known URL only. Optional max_chars 100-50000, default 8000. SSRF-protected: private IPs + localhost blocked.

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• firecrawl_searchA

  firecrawl-mcpA

  Search web, news, or image sources and return ranked results with query-relevant highlights. Each web result is a title, URL, and description; use `firecrawl_scrape` on a result URL when the excerpt is not enough. Authenticated search also returns matching Alexandria data providers in data.tools (companies, people, jobs, finance and filings, public records and government spending, real estate, places and restaurants, retail and prices, package registries and developer data, news, research, and more). Prefer a provider over scraping pages when the task needs the same fields across several entities, exact figures or timestamps, provenance, or many records; use web results when they already answer the question. A search with sources: ["web"] omits semantic provider discovery; domainTools: true can still return website-matched tools. Web-only results use domainTools: false. On an authenticated session, tool matches describe available capabilities; `firecrawl_find_tools` returns their contracts and `firecrawl_scrape` with an `alexandria` body executes a selected capability. Keyless sessions get no Alexandria matches in data.tools. For a programming question, add `categories: ["developer"]`; its hits return in `data.web` with `category: "developer"`. `categories: ["research"]` restricts web results to research-affiliated websites; the `firecrawl_research_*` tools are a separate surface over paper abstracts and full text (PubMed, bioRxiv, medRxiv, arXiv). Query operators, domain filters, `categories`, `toolDetail` and `scrapeOptions` are described on their parameters. Returns source-type result groups and usage metadata. Authenticated responses can include an `id` for optional search feedback.

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• lookup_paperA

  BGPT Scientific DataA

  Look up a single paper by its DOI. Args: doi: The DOI of the paper (e.g. "10.1038/s41586-024-07386-0"). output_format: "evidence" for compact claim-level evidence (default), "legacy" for original paper metadata, or "full" for both. Returns: An envelope with found status and the paper in result, or a not-found message. A found paper counts as one result.

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• lookup_paperA

  BGPT - Scientific Paper SearchA

  Look up a single paper by its DOI. Args: doi: The DOI of the paper (e.g. "10.1038/s41586-024-07386-0"). output_format: "evidence" for compact claim-level evidence (default), "legacy" for original paper metadata, or "full" for both. Returns: An envelope with found status and the paper in result, or a not-found message. A found paper counts as one result.

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• explore_topicA

  OpenArxB

  Map the conceptual landscape around a topic ACROSS THE PAPER CORPUS. Searches papers and their chunks, not the layer-2 claim graph — for published CLAIMS on a topic use methodist_explore_topic. Instead of returning a ranked list of papers, returns N distinct conceptual clusters with representative chunks. Built on keyConcept LLM-extracted markers diversification. Use for "what approaches exist to X" queries — answers with thematic map rather than ranked list. Better than search when you want breadth over depth. Temporal bias note: for topics with dense recent literature (e.g. current LLM research), the default ordering favors recent papers because vector similarity finds them first; specify dateTo for historical exploration of mature topics, or dateFrom+dateTo to slice a specific era. Diversification cap (maxClustersPerPaper) limits how many clusters can have the same source paper as representative chunk — protects against single-paper dominance.

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• doi_lookupA

  MAD Synapse · Web & ResearchA

  Resolve a DOI — or search a paper title — to full citation metadata: title, authors, journal, year, citations count, publisher, license, and a ready-made APA/BibTeX citation. Crossref's open metadata (150M+ works). Search mode returns the top matches for a title/author query. When to use: For citation metadata of a known paper; to search preprints by topic use arxiv_search. Price: $0.001 per call (10 free/day; after that a payment-required result lists x402 options). Errors: returns isError with a message for invalid input or an upstream failure (not charged).

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• get_research_thesesA

  voxoddsA

  Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice.

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• getPaperDetailsA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Get full details for a specific quantum computing paper by its arXiv ID (e.g., "2401.12345"). Use after searchPapers or getLatestPapers when the user wants to dive deep into a specific paper. Returns: complete abstract, all authors, publication date, AI-generated tags with reasons, hook (one-line summary), methodology, gist, and key findings. Requires a valid paper_id from search results. Returns error if not found.

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• assessment_get_guidelinesA

  website-searchA

  Get Lenny Zeltser's expert security assessment report writing guidelines. Topics: severity (the risk-adjusted severity model — the spine), findings, remediation, methodology, scope, strengths, brief (one-page brief section guidance), executive_summary, analysis, anti_patterns, frameworks, handoffs, and summary. The general 'tone' topic defers to `get_security_writing_guidelines` for the canonical Five Elements rules. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.

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• malware_get_guidelinesA

  website-searchA

  Get Lenny Zeltser's expert malware analysis report writing guidelines. Topics include capabilities, confidence, pyramid_of_pain, anti_patterns, methodology, fields, handoffs, frameworks, plus tone, words, structure, and executive_summary topics that defer to `get_security_writing_guidelines` for canonical Five Elements guidance. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.

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• search_research_postsA

  GlobalSource Partners MCP ServerA

  Search published research posts associated with one or more research entities. This tool requires research entity UUIDs. If only entity names are known, first call search_research_entities to obtain candidate research entities and their UUIDs. Use only entity_uuid values copied exactly from search_research_entities results. Never infer, guess, construct, or transform UUIDs from entity names. Use this tool only after selecting the most appropriate research entity from the search_research_entities results. Examples: - To find research about "United States", first call search_research_entities with "United States", review the returned matches, select the most appropriate entity, and then call this tool with the selected entity_uuid. - To find recent research about multiple entities, pass all selected entity_uuid values in research_entity_uuids. - To retrieve the next page of results, pass the previous response's next_cursor as cursor. Results can be filtered by publication date and retrieved using cursor-based pagination.

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• convert_arxivA

  inktomd MCP ServerA

  Convert any ArXiv research paper to clean structured Markdown. Accepts both abstract page URLs (arxiv.org/abs/PAPER_ID) and direct PDF links (arxiv.org/pdf/PAPER_ID). Returns the full paper content with headings, sections, and content preserved — uses significantly fewer tokens than the PDF format for AI analysis.

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• ror.organizations.affiliationA

  apibaseB

  Intelligently match a free-text affiliation string (as found in academic paper bylines or grant records) to research organizations in the ROR registry. Pass the raw affiliation text exactly as it appears — e.g. "Dept. of Physics, Univ. of California, Berkeley, CA, USA" or "Max-Planck-Institut für Astronomie, Heidelberg". ROR's affiliation matching algorithm performs substring detection, name-variant lookup, and scoring to identify candidate organizations. Returns each candidate with: confidence score (0–1), a "chosen" boolean (the best single match), matching_type (e.g. SINGLE SEARCH, COMMON TERMS), and the organization's ROR ID, canonical name, type, and country. Ideal for metadata curation, ORCID affiliation disambiguation, funder acknowledgment normalization, and building organization-level research analytics from unstructured text.

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• search_researchA

  HeistaA

  Structured fact-check + numerical research via Perplexity Sonar Reasoning Pro (Gateway-routed). Returns synthesized answer text plus structured sources[] with direct URLs to primary sources. Use for: specific numerical claims with methodology context, fact-check against primary sources, effect sizes + confidence intervals, earnings transcripts / SEC filings / research papers. Per Phase 3.5 empirical A/B: 2-3× cheaper than sonar-pro with comparable or better quality on structured research. Real Meta IR press releases + earnings transcripts on Desk. 17 cites on Quant. NOT for: Reddit/X/community → use search_community. NOT for: broad topic landscapes → use search.

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• list_categoriesA

  raumnebenanA

  Returns a list of all available product knowledge categories, each with a short description. Categories represent the main pillars of Product Thinking – Foundation, Sense, Focus, Discovery, and Delivery. Each category provides structured resources for product owners, designers, and teams, covering groundwork, user research, opportunity analysis, validation, and agile delivery. Use this tool to guide users to the right area for their current product challenge.

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• getLatestPapersA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Get today's quantum computing papers from arXiv — no parameters needed. Use when the user asks "what's new in quantum computing?" or wants a daily paper briefing. Returns the most recent day's papers with title, authors, date, AI-generated hook (one-line summary), and tags. For date-range or topic-filtered search, use searchPapers instead. Use getPaperDetails for full abstract and analysis of a specific paper.

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• citationsA

  OpencitationsA

  "Who cites paper [DOI]" / "what papers reference [DOI]" / "incoming citations to [paper]" / "what work has cited [study]" — DOIs that CITE the given DOI (reverse-direction from references). Use for impact analysis, follow-on research discovery, "is this paper influential" questions.

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