Semantic Scholar MCP Server for Cursor 4 tools — connect in under 2 minutes
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.
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{
"mcpServers": {
"semantic-scholar": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Semantic Scholar MCP Server
Connect your AI agent to the world's most AI-enhanced academic knowledge graph, built and maintained by the Allen Institute for AI (AI2).
Cursor's Agent mode turns Semantic Scholar into an in-editor superpower. Ask Cursor to generate code using live data from Semantic Scholar and it fetches, processes, and writes. all in a single agentic loop. 4 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- AI-Powered Search — Find papers across 200M+ works with AI-generated TLDR summaries that distill each paper into a single sentence of key insight
- Influential Citations — Beyond simple citation count, see how many influential citations a paper has received — those that meaningfully build upon the cited work
- Multi-Format Lookup — Access papers by Semantic Scholar ID, DOI, ArXiv ID (arXiv:2106.09685), or PubMed ID (PMID:12345)
- Citation Graph — Explore the full citation chain of any paper, with TLDR summaries for each citing work
- Researcher Profiles — Find academics by name with paper counts, total citations, and h-index metrics
The Semantic Scholar MCP Server exposes 4 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Semantic Scholar to Cursor via MCP
Follow these steps to integrate the Semantic Scholar MCP Server with Cursor.
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 Semantic Scholar
Open Agent mode in chat and ask: "Using Semantic Scholar, help me...". 4 tools available
Why Use Cursor with the Semantic Scholar MCP Server
Cursor AI Code Editor provides unique advantages when paired with 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
Semantic Scholar + Cursor Use Cases
Practical scenarios where Cursor combined with the 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
Semantic Scholar MCP Tools for Cursor (4)
These 4 tools become available when you connect Semantic Scholar to Cursor via MCP:
get_semantic_citations
Essential for literature reviews and impact analysis. Find papers that cite a specific work on Semantic Scholar
get_semantic_paper
Accepts Semantic Scholar paper ID, DOI, ArXiv ID (e.g. arXiv:2106.09685), or PMID (e.g. PMID:12345). Get full paper details from Semantic Scholar by paper ID or DOI
search_semantic_author
Returns paper count, total citations, and h-index for each researcher. Find researchers and their publication metrics on Semantic Scholar
search_semantic_scholar
Returns papers with AI-generated TLDR summaries, citation counts, influential citation counts, and fields of study. Covers Computer Science, Medicine, Biology, Physics, and all STEM fields. Search 200M+ academic papers with AI-powered TLDR summaries and influence scores
Example Prompts for Semantic Scholar in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Semantic Scholar immediately.
"What are the most cited papers on transformer architecture in deep learning?"
"Get the full details of the LoRA paper using its ArXiv ID arXiv:2106.09685."
"Find the researcher Yann LeCun and show me his publication metrics."
Troubleshooting Semantic Scholar MCP Server with Cursor
Common issues when connecting Semantic Scholar to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Semantic Scholar + Cursor FAQ
Common questions about integrating Semantic Scholar MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
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?
How do I verify MCP tools are loaded?
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TypeScript toolkit for building AI-powered web applications.
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Semantic Scholar to Cursor
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.