Semantic Scholar MCP Server
Search 200M+ academic papers with AI-powered TLDR summaries, influential citation tracking, and researcher profiles from the Allen Institute for AI.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Semantic Scholar MCP Server?
The Semantic Scholar MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Semantic Scholar via 4 tools. Search 200M+ academic papers with AI-powered TLDR summaries, influential citation tracking, and researcher profiles from the Allen Institute for AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (4)
Tools for your AI Agents to operate Semantic Scholar
Ask your AI agent "What are the most cited papers on transformer architecture in deep learning?" and get the answer without opening a single dashboard. With 4 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 the 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 access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Semantic Scholar MCP Server capabilities
4 toolsEssential for literature reviews and impact analysis. Find papers that cite a specific work on Semantic Scholar
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
Returns paper count, total citations, and h-index for each researcher. Find researchers and their publication metrics on 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
What the Semantic Scholar MCP Server unlocks
Connect your AI agent to the world's most AI-enhanced academic knowledge graph, built and maintained by the Allen Institute for AI (AI2).
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
How it works
1. Subscribe to this server
2. Start searching 200M+ papers immediately — no API key required for basic usage
Who is this for?
- AI/ML Researchers — find relevant papers in your field with instant TLDR summaries to quickly assess relevance before reading the full text
- Graduate Students — build comprehensive literature reviews using the citation graph to trace how ideas evolve across the academic landscape
- R&D Teams — evaluate researcher impact using influential citation counts and h-index metrics for talent scouting or collaboration decisions
Frequently asked questions about the Semantic Scholar MCP Server
Do I need an API key to use Semantic Scholar?
No API key is required for basic usage. The public API provides 5,000 requests per 5 minutes shared among unauthenticated users. For higher throughput, academic and institutional users can request a free API key at semanticscholar.org, which grants dedicated rate limits of 1–10 requests per second depending on the endpoint.
What is the TLDR feature and how does it work?
TLDR (Too Long; Didn't Read) is an AI-generated one-sentence summary of each paper, powered by Allen AI's SciTLDR NLP model. It distills the key contribution or finding of a paper into a single, easily digestible sentence — ideal for quickly scanning relevance without reading an entire abstract or paper.
What is the difference between total citations and influential citations?
Total citations count every paper that references the work. Influential citations are a subset — papers where the cited work meaningfully contributes to the citing paper's research (not just a passing mention in the related work section). This metric is calculated by Semantic Scholar's AI models and provides a much more accurate measure of real scientific impact.
More in this category
Eurostat Full Access — EU Statistical Intelligence
26 toolsThe ultimate EU statistics Mega-Server: 26 tools spanning economy (GDP, inflation, debt), demographics (population, unemployment, migration), trade, environment (emissions, energy, renewables), and 7,000+ dataset discovery — all 27 EU member states.
Google Home
12 toolsControl Google Nest devices — thermostats, cameras, and doorbells via Smart Device Management (SDM) API.
Home Assistant
15 toolsControl smart home devices and automations via Home Assistant REST API — lights, climate, media, covers, sensors, and more.
You might also like
Close
8 toolsManage sales and pipelines via Close CRM — track leads, monitor opportunities, and manage tasks directly from any AI agent.
HCSS
11 toolsAutomate heavy construction management via HCSS — manage jobs, timecards, estimates, and equipment telematics directly from any AI agent.
Dutchie POS
10 toolsEquip your AI agent to manage cannabis retail products, track inventory, and monitor orders via the Dutchie POS API.
Connect Semantic Scholar with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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.
Give your AI agents the power of Semantic Scholar MCP Server
Production-grade Semantic Scholar MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.