- DATA
- SCOPE
- DETAIL
- HUMAN
Short answer
How can I use AI to automate literature reviews?
Your AI uses the Semantic Scholar connection to run broad searches and pull specific metadata for large sets of papers. This builds the foundation for your systematic review by handling the data retrieval. You'll get organized lists of papers, authors, and citations ready for analysis.
Research outcomes
Where your data lands.
The AI handles the data retrieval so you can focus on the synthesis.
DATA
Structured paper lists
The AI gathers titles, authors, and publication dates. You get a clean dataset instead of a messy list of links.
SCOPE
Broad search coverage
Your agent runs multiple queries to find relevant papers across different niches. This ensures you don't miss key studies.
DETAIL
Deep paper inspection
The AI pulls specific details from individual papers to check for relevance. This helps filter out noise early.
HUMAN
Critical synthesis
The AI provides the raw data and metadata. You still need to read the papers and draw the actual conclusions.
The workflow
What your AI does when the research starts.
The AI acts as your research assistant, moving from broad discovery to specific data extraction.
Broad discovery
Your agent sends out multiple search queries to find papers matching your research topic.
bulk_search_papersMetadata gathering
The AI collects essential details like citation counts and publication info for a group of papers.
batch_get_papersTargeted inspection
When you find a specific study, the AI pulls its full metadata to verify it fits your criteria.
get_paperDataset assembly
The AI organizes the gathered information into a format you can use for your review.
batch_get_papers
Try it
Copy these to start.
Use these prompts to kick off your research process.
Starting points
Replace the bracketed text with your specific research topics or keywords.
Semantic Scholar Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_AZJpPbxBFEPF3qqoPfdyST9yhfXQRp6VrfLZlw40/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Semantic Scholar capabilities are ready to use.
{
"mcpServers": {
"stanford-semantic-scholar-mcp": {
"url": "https://edge.vinkius.com/vk_preview_AZJpPbxBFEPF3qqoPfdyST9yhfXQRp6VrfLZlw40/mcp"
}
}
}Search for papers about [topic] and give me a list of the most cited ones.
Find papers related to [specific field] and pull the metadata for the top 20 results.
Get the details for the paper with ID [paper_id] so I can check its abstract.
Batch retrieve the metadata for these specific papers: [list of IDs].
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Stanford Semantic Scholar once, then ask.
Just click the link to connect. Your credentials stay encrypted, and you can immediately start asking your AI to find papers.
Connect Stanford Semantic Scholar to your AIFAQ
How the research automation works
- 01
Can the AI download the full PDF of a paper?
No. The AI can only access metadata and paper details provided by the Semantic Scholar tools.
- 02
Can my AI write the entire literature review for me?
No. The AI gathers the data and organizes the information, but you must perform the actual analysis and writing.
- 03
How many papers can it search for at once?
The AI uses bulk search and batch tools to handle large groups of papers efficiently.
- 04
Does the AI change my existing research files?
No. The AI only reads data from Semantic Scholar to provide information to your chat.
- 05
Can I use this with Claude or Cursor?
Yes, any MCP-compatible client will work once you connect the Connector.
More questions about Stanford Semantic Scholar? The Connector page answers them. See everything the Stanford Semantic Scholar Connector can do
Connect Semantic Scholar to Claude, Cursor, ChatGPT & more
