Stanford Semantic Scholar MCP Server for CursorGive Cursor instant access to 16 tools to Batch Get Authors, Batch Get Papers, Bulk Search Papers, and more

Name: Stanford Semantic Scholar
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Ask AI about this MCP Server for Cursor

Open in ChatGPT Open in Claude Open in Perplexity

The Stanford Semantic Scholar MCP Server for Cursor is a standout in the Education category — giving your AI agent 16 tools to work with, ready to go from day one.

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VS Code

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+ other MCP clients

Classic Setup·json

{
  "mcpServers": {
    "stanford-semantic-scholar": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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About Stanford Semantic Scholar MCP Server

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

Cursor's Agent mode turns Stanford Semantic Scholar into an in-editor superpower. Ask Cursor to generate code using live data from Stanford Semantic Scholar and it fetches, processes, and writes. all in a single agentic loop. 16 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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

The Stanford Semantic Scholar MCP Server exposes 16 tools through the Vinkius. Connect it to Cursor in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Stanford Semantic Scholar tools available for Cursor

When Cursor connects to Stanford Semantic Scholar through Vinkius, your AI agent gets direct access to every tool listed below — spanning semantic-scholar, academic-papers, citations, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

batch

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

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

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

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

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

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

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

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

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

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

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

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

Connect Stanford Semantic Scholar to Cursor via MCP

Follow these steps to wire Stanford Semantic Scholar into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Stanford Semantic Scholar

Open Agent mode in chat and ask: "Using Stanford Semantic Scholar, help me...". 16 tools available

Why Use Cursor with the Stanford Semantic Scholar MCP Server

Cursor AI Code Editor provides unique advantages when paired with Stanford Semantic Scholar through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Stanford Semantic Scholar + Cursor Use Cases

Practical scenarios where Cursor combined with the Stanford Semantic Scholar MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Example Prompts for Stanford Semantic Scholar in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Stanford Semantic Scholar immediately.

"Find the most cited papers on transformer architectures published since 2020"

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

"Recommend papers similar to "Attention Is All You Need""

Troubleshooting Stanford Semantic Scholar MCP Server with Cursor

Common issues when connecting Stanford Semantic Scholar to Cursor through Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Stanford Semantic Scholar + Cursor FAQ

Common questions about integrating Stanford Semantic Scholar MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.