Unpaywall FAQs

Question 1

What are the benefits of using Unpaywall in data science or ML projects?

Accepted Answer

Unpaywall streamlines access to vast academic literature, allowing AI models to automatically discover relevant research, extract key insights, and integrate scientific knowledge directly into data analysis, model training, or knowledge retrieval systems for enhanced intelligence.

Question 2

How does Unpaywall integrate with AI models?

Accepted Answer

It integrates seamlessly via the Model Context Protocol (MCP). AI clients, such as large language models, can call specific tools like `unpaywall_search_titles` or `unpaywall_fetch_pdf_text` to programmatically access academic content.

Question 3

What core functionalities does Unpaywall offer for AI clients?

Accepted Answer

AI clients can fetch article metadata by DOI, search article titles with various filters, retrieve the best open-access full-text and PDF links, and download/extract text content directly from OA PDFs.

Question 4

What is Unpaywall for AI?

Accepted Answer

Unpaywall for AI is an MCP (Model Context Protocol) server that allows AI clients to interact with the Unpaywall API. This enables automated searching, metadata retrieval, and text extraction from open-access scholarly articles and PDFs.

Question 5

Is an Unpaywall email address required to use this tool?

Accepted Answer

Yes, Unpaywall requires an email address for polite API usage and to contact you about usage. You can set it as an environment variable (`UNPAYWALL_EMAIL`) or provide it with each API call.

Unpaywall

About

Key Features

Use Cases