Smithery Morosss Sdfsdf
Find academic papers across major sources like arXiv, PubMed, bioRxiv, and more. Download PDFs whe…
About This MCP Server
paper-search-mcp is a Python-based MCP server that enables users to search and download academic papers from various platforms. It provides tools for searching papers (e.g., search_arxiv) and downloading PDFs (e.g., download_arxiv), making it ideal for researchers and AI-driven workflows. Built with the MCP Python SDK, it integrates seamlessly with LLM clients like Claude Desktop.
Why Use Smithery Morosss Sdfsdf?
- Multi-Source Support: Search and download papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar.
- Standardized Output: Papers are returned in a consistent dictionary format via the Paper class.
- Asynchronous Tools: Efficiently handles network requests using httpx.
- MCP Integration: Compatible with MCP clients for LLM context enhancement.
- Extensible Design: Easily add new academic platforms by extending the academic_platforms module.
Specifications
Requirements
- paper-search-mcp can be installed using uv or pip. Below are two approaches: a quick start for immediate use and a detailed setup for development.
Hosting
Hosting Options
- Remote
API
Integrate this server into your application. Choose a connection method below.
Install
npx -y @smithery/cli install @openags/paper-search-mcp --client claudePerformance
Usage
Quick Reference
- Name
- Smithery Morosss Sdfsdf
- Function
- Find academic papers across major sources like arXiv, PubMed, bioRxiv, and more. Download PDFs whe…
- Transport
- Remote
- Install
- npx -y @smithery/cli install @openags/paper-search-mcp --client claude
- Source
- External (Registry)
- License
- Open Source
Ready to integrate this MCP server?
Book a demo to see how this server fits your workflow, or explore the full catalog.