Instant Paper Fetcher: AI Tool for Academic PDF Downloads

Instant Paper Fetcher: Seamless Academic PDF Retrieval for AI Agents

Transform your academic research process with the Instant Paper Fetcher, an innovative AI tool designed to effortlessly obtain PDF versions of scholarly papers. Whether you provide a DOI, an arXiv ID, or even just a paper's title, this skill identifies the most accessible source to deliver the PDF you need, streamlining your research workflow with unparalleled efficiency.

What this skill does

The Instant Paper Fetcher automates the retrieval of academic papers by following a comprehensive resolution order:

• Unpaywall: Initiates a search using Unpaywall's API to locate the best open access PDF available.
• Semantic Scholar: Queries Semantic Scholar for open-access PDFs and external identifiers, ensuring availability.
• arXiv: Directs to PDFs on arXiv when an ArXiv ID is present.
• PubMed Central: Accesses full-text PDFs if a PMCID is associated with the paper.
• bioRxiv/medRxiv: Fetches the latest version PDF through bioRxiv or medRxiv for specific DOI prefixes.
• Publisher Direct: In institutional mode, retrieves PDFs directly from publisher websites for subscribed institutions.
• Sci-Hub: As a last resort, mirrors are checked to ensure acquisition when other methods fail.

Use cases

• Research teams can automate the process of obtaining necessary articles for systematic reviews, saving valuable time.
• Developers can integrate PDF retrieval for academic references directly into their AI agent workflows, enhancing development capabilities.
• Universities and libraries can offer this tool to students to simplify access to academic resources within their study platforms.

Technical details

• Utilizes multiple APIs, including Unpaywall, Semantic Scholar, and bioRxiv for comprehensive PDF searches.
• Integrates smoothly with AI coding agents like Claude Code, Cursor, and Codex, optimizing their functionality for academic research support.
• Operates effectively even without explicit PDF or DOI requests, interpreting natural language prompts to initiate paper fetching.

Equip your AI systems with the Instant Paper Fetcher for a streamlined, efficient research experience, leveraging cutting-edge technology to redefine how you access academic literature.

Source & Licence

This package is built on open-source work published by Agents365-ai (Agents365-ai/paper-fetch) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.