Semantic Scholar Connector for AI agents.
4 live capabilities
Find and summarize academic papers across 200 million scientific works.
Waiting for input…
Why people use Semantic Scholar
Semantic Scholar for Academic Literature Reviews
With this Connector, your agent does the digging. You ask for a summary of a field, and it pulls TLDRs from hundreds of papers instantly. You get a clear map of the research landscape without the tab fatigue.
What Vinkius changes
You get a searchable, summarized database of most major scientific papers in one place.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Mapping an evolving AI architecture
A researcher needs to see how a specific AI architecture has changed over 5 years.
- Real-world use case 02
Vetting niche biology research
A student is looking for the most relevant papers on a niche biology topic.
- Real-world use case 03
Identifying top experts in a field
An R&D lead needs to find the top experts in a new field.
Complete set · 4capabilities
The complete Semantic Scholar capability set.
These are the exact actions your AI can choose when you ask it to work with Semantic Scholar.
01—04
4 capabilities in this set.
Part of 4 available through Semantic Scholar.
- 01 Capability
Search semantic author
Retrieve paper counts, total citations, and h-index metrics for any researcher. Use this to scout talent or evaluate academic impact.
- 02 Capability
Search semantic scholar
Search 200M+ papers and get AI-generated TLDR summaries and influence scores. This helps you quickly vet papers in any STEM field.
- 03 Capability
Get semantic citations
Find papers that cite a specific work to help with impact analysis. This is great for building a citation graph during a literature review.
- 04 Capability
Get semantic paper
Get full paper details using a DOI, ArXiv ID, or PubMed ID. This lets your agent pull data directly without you having to browse a website.
Set up in minutes
One URL. Then ask Semantic Scholar to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Semantic Scholar from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_8zAprfIHUkrZA9BorlGo4lSh4aqrzDrrqy7KLAZz/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Semantic Scholar, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Semantic Scholar for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_8zAprfIHUkrZA9BorlGo4lSh4aqrzDrrqy7KLAZz/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Semantic Scholar URL.
- Step 03
Save and start
Save the connection and enable Semantic Scholar in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"semantic-scholar": {
"url": "https://edge.vinkius.com/vk_preview_8zAprfIHUkrZA9BorlGo4lSh4aqrzDrrqy7KLAZz/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Semantic Scholar
Open Agent mode in chat and ask: "Using Semantic Scholar, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"semantic-scholar": {
"url": "https://edge.vinkius.com/vk_preview_8zAprfIHUkrZA9BorlGo4lSh4aqrzDrrqy7KLAZz/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Semantic Scholar
Ask Copilot: "Using Semantic Scholar, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"semantic-scholar": {
"url": "https://edge.vinkius.com/vk_preview_8zAprfIHUkrZA9BorlGo4lSh4aqrzDrrqy7KLAZz/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Semantic Scholar
Open Cascade and ask: "Using Semantic Scholar, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"semantic-scholar": {
"url": "https://edge.vinkius.com/vk_preview_8zAprfIHUkrZA9BorlGo4lSh4aqrzDrrqy7KLAZz/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Semantic Scholar
Ask Cline: "Using Semantic Scholar, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add semantic-scholar --transport http "https://edge.vinkius.com/vk_preview_8zAprfIHUkrZA9BorlGo4lSh4aqrzDrrqy7KLAZz/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Semantic Scholar
Ask Claude: "Using Semantic Scholar, show me...". 4 tools are ready
Where the request belongs
Work Semantic Scholar can move forward.
This is for anyone who spends hours reading abstracts or trying to find the right paper. It's for the researcher who needs to see the actual impact of a study, not just the citation count.
PhD Candidate
Uses this to map out literature reviews by tracing citation chains to see how theories have evolved.
R&D Scientist
Uses this to quickly vet new papers in their field using TLDR summaries to save time on reading.
Tech Scout
Uses this to find and evaluate high-impact researchers for partnerships using h-index and citation data.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsOpenAlex
Automate scholarly research via OpenAlex. search millions of works, authors, and institutions directly from any AI agent.
CrossRef
Search 140M+ scholarly works across all scientific disciplines. with DOI resolution, citation counts, author lookup, and full bibliographic metadata from the world's largest DOI registry.
Stanford Semantic Scholar
Discover academic papers with AI-powered search that understands research context, finds citations, and recommends related work.
MIT DBLP
Search millions of computer science publications, find author profiles, and explore academic citation networks across conferences.
Stanford OpenAlex
Explore the global research landscape with open access to scholarly works, authors, institutions, and citation graphs.
Scopus
Access the world's largest abstract and citation database. Search for research papers, authors, and institutional profiles directly.
Bring your own AI
Change the model, client or framework. Keep Semantic Scholar connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Semantic Scholar.
The practical details behind the request, access and result.
Can Semantic Scholar help me write a literature review?
Yes, it helps you find related papers and map out how ideas have evolved over time. This makes it much faster to organize your research.
How does Semantic Scholar handle different paper types?
It can look up papers using DOIs, ArXiv IDs, and PubMed IDs, making it versatile for different types of scientific archives.
Can I find out who the most influential researchers are?
Yes, the Connector pulls metrics like h-index and total citations for specific academics, which helps identify key figures in a field.
Will Semantic Scholar give me a summary of the paper?
It provides AI-generated TLDRs that distill each paper into a single sentence of key insight, so you don't have to read the full text to understand the goal.
Is Semantic Scholar good for finding STEM research?
Yes, it covers Computer Science, Medicine, Biology, Physics, and other major STEM fields with high-quality data.
How do I find papers that cite a specific study?
You can use the citation analysis capabilities to see the works that build on a specific paper, allowing you to see the current state of the research.
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.
One connection away
Give your agent a direct line to Semantic Scholar.
Connect Semantic Scholar once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available