MCP For Claude Marketplace
Stanford Semantic Scholar

Stanford Semantic Scholar MCP Connector for Claude

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Discover academic papers with AI-powered search that understands research context, finds citations, and recommends related work.

16 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect to the Semantic Scholar Academic Graph API and unlock the world's largest free academic knowledge graph.

What you can do

  • Paper Search — Full-text search across 200M+ papers with filters for year, field of study, venue, and open access
  • Citation Analysis — Navigate forward citations (who cited this?) and backward references (what did this cite?)
  • Author Profiles — Search and retrieve author metrics including h-index, paper count, and citation count
  • Batch Operations — Retrieve multiple papers or authors in a single request for efficient analysis
  • AI Recommendations — Get machine learning-powered paper recommendations from single or multiple seed papers
  • Venue Filtering — Search within specific conferences (NeurIPS, ICML, CVPR) or journals (Nature, Science, Cell)
  • Field Filtering — Search within specific fields: Computer Science, Medicine, Biology, Physics, and 20+ more

How it works

  1. Subscribe to this server
  2. No API key required — the API is fully public
  3. Start searching papers from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Researchers — conduct literature reviews, find related work, discover citation chains
  • PhD Students — navigate the academic graph to position your research
  • Data Scientists — build publication analytics and bibliometric analyses
  • R&D Teams — monitor the latest publications in your domain
semantic-scholaracademic-paperscitationsresearchliterature-reviewbibliographyai-recommendations

16 tools expose this connector's capabilities to your AI agent.

batch_get_authors

Returns names, affiliations, paper counts, citation counts, and h-indices. Useful for comparing researchers or building collaboration network analyses. Retrieve multiple author profiles in a single request

get_paper

Accepts multiple ID formats: Semantic Scholar ID (e.g. "649def34f8be52c8b66281af98ae884c09aef38b"), DOI (e.g. "10.1038/s41586-021-03819-2"), ArXiv ID (e.g. "arXiv:2106.09685"), PubMed ID (e.g. "PMID:34845388"), or ACL ID (e.g. "ACL:W12-3903"). Returns title, abstract, authors, venue, year, citation counts, open access PDF URL, and publication metadata. Get full paper details by ID, DOI, ArXiv ID, or PubMed ID

search_authors

Returns author profiles with affiliations, paper counts, citation counts, and h-index. Use this to find researchers in a specific field, discover top contributors, or find collaborators. Search authors by name across the academic graph

get_recommendations

The algorithm analyzes citation patterns, co-citation networks, and content similarity to find the most relevant papers you should read next. This is the AI-native way to discover related literature. Get AI-powered paper recommendations from a seed paper

search_by_field

Supported fields: Computer Science, Medicine, Biology, Chemistry, Physics, Mathematics, Engineering, Environmental Science, Economics, Business, Political Science, Sociology, Psychology, Art, History, Geography, Philosophy, Materials Science, Geology, Linguistics, Education, Agricultural and Food Sciences, Law. Search papers filtered by field of study

batch_get_papers

Accepts S2 IDs, DOIs, ArXiv IDs, or PubMed IDs. Useful for comparing papers, building reading lists, or analyzing a set of related works. Retrieve multiple papers in a single request

bulk_search_papers

Each call returns a batch of results plus a continuation token. Pass the token in subsequent calls to get the next batch. Ideal for systematic literature reviews and meta-analyses. Bulk search for large result sets with token pagination

get_author

Returns name, affiliations, homepage, external IDs (DBLP, ORCID), total paper count, citation count, and h-index. The definitive tool for understanding a researcher's academic impact. Get author profile with h-index, citations, and metrics

get_author_papers

Returns papers with titles, years, venues, citation counts, open access status, and fields of study. Essential for reviewing a researcher's body of work or finding specific publications by a known author. Get all papers by a specific author

get_multi_recommendations

The algorithm finds papers similar to the positive set but dissimilar to the negative set. Ideal for focused literature discovery. Get recommendations from multiple seed papers with positive/negative signals

get_paper_authors

Useful for identifying research leaders and collaboration networks. Get authors of a specific paper with h-index and metrics

get_paper_citations

This is essential for understanding a paper's impact, finding follow-up work, and tracing how an idea has evolved. Returns citing paper metadata including titles, venues, years, and citation counts. Get papers that cite a given paper

get_paper_references

Essential for literature reviews, understanding the intellectual lineage of a work, and finding foundational papers in a research area. Get papers referenced by a given paper

match_paper_title

Uses fuzzy matching to handle slight variations. Returns the best matching paper with a match score. Ideal when you have a paper title from a reference list or bibliography and need to find its full metadata. Find an exact paper match from a title string

search_by_venue

Use venue names like "Nature", "Science", "NeurIPS", "ICML", "CVPR", "ACL", "EMNLP", "The Lancet", "JAMA", "Cell", "Physical Review Letters". Essential for tracking publications in specific top-tier venues. Search papers filtered by conference or journal

search_papers

Returns titles, venues, years, citation counts, open access status, fields of study, and authors. Supports filtering by year range (e.g. "2020-2024"), fields of study (e.g. "Computer Science"), venue (e.g. "Nature"), and open access availability. Search across 200M+ academic papers by keyword

See how to talk to your AI agent using Stanford Semantic Scholar.

Find the most cited papers on transformer architectures published since 2020

I've searched Semantic Scholar for "transformer architecture" papers from 2020-2026. The top results include "Attention Is All You Need" (the foundational paper), Vision Transformer (ViT), BERT, GPT-3, and their derivatives, sorted by citation count.

What is Geoffrey Hinton's h-index and how many papers has he published?

I've found Geoffrey Hinton's profile on Semantic Scholar. He has published over 400 papers with a combined citation count exceeding 500,000, giving him one of the highest h-indices in computer science.

Recommend papers similar to "Attention Is All You Need"

Using the AI recommendation engine with "Attention Is All You Need" as the seed paper, I've found highly relevant papers including BERT, GPT-2, the Universal Transformer, Transformer-XL, and other key works that built upon the attention mechanism paradigm.

No. The Semantic Scholar API is fully public. An optional free API key increases rate limits from 1 to 10 requests per second.

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