Paperclip
Integrates with ArXiv, OpenAlex, and Open Science Framework to provide unified academic paper search, metadata retrieval, and full-text PDF extraction converted to clean markdown format for research analysis and literature reviews.
About
This MCP server provides academic paper search and retrieval across multiple scholarly databases including ArXiv, OpenAlex, and Open Science Framework (OSF) preprint servers, built by Mats Julius Funke using Python with FastMCP and PyMuPDF for PDF processing. The implementation offers unified search capabilities across providers with advanced filtering by publication date, subjects, and authors, plus full-text PDF extraction that converts academic papers to clean markdown format suitable for AI analysis. Features include metadata-only retrieval for quick paper discovery, direct PDF URL processing, robust error handling with API query sanitization, and Docker deployment support, making it valuable for researchers, students, and AI assistants that need programmatic access to academic literature for literature reviews, research analysis, and knowledge synthesis workflows.
Is this your product? Claim this listing with an email at your domain to post updates.
Is this your project?
Claim this listing to manage your page, access analytics, and unlock upgrades. Verification takes 60 seconds.
Share This Project
Embed Badge
Add this badge to your README:
[](https://hifriendbot.com/ai-list/paperclip/)
