Stanford Semantic Scholar MCP Server with 16 Tools for Claude, Cursor, and AI Agents
GDPR Free for SubscribersDiscover academic papers with AI-powered search that understands research context, finds citations, and recommends related work. Vinkius routes your AI agents directly to Stanford Semantic Scholar through a governed connection. 16 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
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What is the Semantic Scholar MCP Server?
The Semantic Scholar MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Semantic Scholar via 16 tools. Discover academic papers with AI-powered search that understands research context, finds citations, and recommends related work. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (16)
Tools for your AI Agents to operate Semantic Scholar
Ask your AI agent "Find the most cited papers on transformer architectures published since 2020" and get the answer without opening a single dashboard. With 16 tools connected to real Semantic Scholar data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The Stanford Semantic Scholar App Connector works with every AI agent you already use
…and any MCP-compatible client
Use all 16 Stanford Semantic Scholar tools with your AI agents right now
Vinkius routes your AI agents to Stanford Semantic Scholar through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Batch get authors on Stanford Semantic Scholar
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
Batch get papers on Stanford Semantic Scholar
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 on Stanford Semantic Scholar
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 on Stanford Semantic Scholar
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 on Stanford Semantic Scholar
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 on Stanford Semantic Scholar
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 on Stanford Semantic Scholar
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
Get paper authors on Stanford Semantic Scholar
Useful for identifying research leaders and collaboration networks. Get authors of a specific paper with h-index and metrics
Get paper citations on Stanford Semantic Scholar
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 on Stanford Semantic Scholar
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
Get recommendations on Stanford Semantic Scholar
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
Match paper title on Stanford Semantic Scholar
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 authors on Stanford Semantic Scholar
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
Search by field on Stanford Semantic Scholar
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
Search by venue on Stanford Semantic Scholar
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 on Stanford Semantic Scholar
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
What the Stanford Semantic Scholar MCP Server unlocks
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
Frequently asked questions about the Stanford Semantic Scholar MCP Server
Do I need an API key?
No. The Semantic Scholar API is fully public. An optional free API key increases rate limits from 1 to 10 requests per second.
What paper ID formats are supported?
Semantic Scholar accepts multiple ID formats: its own S2 Paper ID, DOI (e.g. "10.1038/..."), ArXiv ID (e.g. "arXiv:2106.09685"), PubMed ID (e.g. "PMID:34845388"), and ACL Anthology ID. This makes it easy to look up any paper regardless of where you found the reference.
How do the AI recommendations work?
The recommendation engine uses machine learning to analyze citation patterns, co-citation networks, and content similarity. You can provide one seed paper for basic recommendations, or multiple positive and negative seed papers for advanced filtering. This is the most sophisticated way to discover related literature.
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We built the connector to Stanford Semantic Scholar. Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Stanford Semantic Scholar to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.