Chat with AI and run tools instantly.
Search 214M+ academic papers, explore citations and references, discover authors, and get recommended reads for literature reviews — from chat.
Try this workflow
Search the paper corpus
Search Semantic Scholar for retrieval-augmented generation papers from the last three years and summarize the top matches with citation counts.
Chat with AI and run tools instantly.
Browse all toolsBuilt for
Academic Researchers, PhD Students, R&D Teams, Literature Review Leads
Search the paper corpus
Keyword discovery across the Semantic Scholar paper index.
Search Semantic Scholar for retrieval-augmented generation papers from the last three years and summarize the top matches with citation counts.
Citation network on one paper
Incoming and outgoing citation edges for impact analysis.
Find Attention Is All You Need in Semantic Scholar, then list its citations and references and highlight the five most influential citing papers.
Expand a reading list
Recommendation and similarity tools for review expansion.
Given three core papers on AI agents, recommend similar Semantic Scholar papers I should read next and explain why each fits.
Author and snippet research
Author profiles plus snippet search for targeted evidence gathering.
Search Semantic Scholar for Yoshua Bengio, pull his recent papers, and find snippet passages about scaling laws across his work.
What is Semantic Scholar MCP?
It lets AI agents search Semantic Scholar's catalog of 214M+ papers, open paper and author profiles, walk citations and references, and surface recommended reads after you add the server in MCPBundles.
Who is Semantic Scholar MCP for?
Researchers and review leads who need paper discovery, citation context, author lookup, and reading-list expansion without leaving their AI chat.
Can an agent map citations from chat?
Yes. Open a paper, then list papers that cite it or papers it references to trace influence, find seminal work, or build a structured review outline.
Related editorial
Semantic Scholar Research Workflows with AI
How AI agents can search Semantic Scholar's paper corpus, explore citations and references, look up authors, and expand reading lists from chat.
Domain knowledge for Semantic Scholar — workflow patterns, data models, and gotchas for your AI agent.
Semantic Scholar provides Academic Graph and Recommendations APIs. Search 214M+ papers, explore citations, discover authors, get recommendations. Configured credentials get a dedicated rate-limit pool.
Fetch Semantic Scholar details for multiple authors in a single request (up to 1000 IDs). Returns name, affiliations, paper count, citation count, and...
Fetch Semantic Scholar details for multiple papers in a single request (up to 500 IDs). Returns title, abstract, authors, citation count, venue, and m...
Fetch detailed Semantic Scholar author profile including name, affiliations, homepage, paper count, citation count, h-index, and external IDs (DBLP, e...
Get a Semantic Scholar author's papers with title, year, venue, citation count, and co-author information. Paginated for authors with many publication...
Get Semantic Scholar papers that cite a given paper (incoming citations). Returns citing papers with context snippets, citation intents, and whether t...
Fetch full Semantic Scholar paper metadata including abstract, authors, citation/reference counts, fields of study, and publication details. Accepts p...
Get the authors of a Semantic Scholar paper with their affiliations, publication count, citation count, and h-index.
Get Semantic Scholar papers referenced by a given paper (bibliography/outgoing references). Returns referenced papers with context snippets, citation ...
Find a single Semantic Scholar paper by exact or close title match. Returns the best-matching paper with a match score. Use this when you know the pap...
Get paper recommendations based on lists of positive (and optionally negative) example papers (Semantic Scholar Recommendations API). Provide papers y...
Search Semantic Scholar for authors by name. Returns authors with their affiliations, paper count, citation count, and h-index.
Search Semantic Scholar papers by relevance (Academic Graph API). Returns papers with title, abstract, TLDR summary, authors, venue, citation count, a...
Search for text snippets (~500 words) across academic papers that match a query. Returns ranked text excerpts from titles, abstracts, and body text wi...
Get paper recommendations similar to a single input paper (Semantic Scholar Recommendations API). Choose from 'recent' papers across all fields or 'al...
It lets AI agents search Semantic Scholar's catalog of 214M+ papers, open paper and author profiles, walk citations and references, and surface recommended reads after you add the server in MCPBundles.
Researchers and review leads who need paper discovery, citation context, author lookup, and reading-list expansion without leaving their AI chat.
Yes. Open a paper, then list papers that cite it or papers it references to trace influence, find seminal work, or build a structured review outline.
Add the server in MCPBundles and start searching. Optional free access from Semantic Scholar improves rate limits for sustained literature review sessions.
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/semantic-scholar. Authentication is handled automatically.
Semantic Scholar provides 14 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
Semantic Scholar uses open data APIs — no authentication required.
Connect Semantic Scholar to any MCP client in minutes
https://mcp.mcpbundles.com/bundle/semantic-scholarThe link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.
Semantic Scholar and paste the MCP URL into Remote MCP server URL.Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).
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