Paper Search FAQs

Question 1

What is Paper Search?

Accepted Answer

Paper Search is a Python-based Model Context Protocol (MCP) server designed to search and download academic papers from a wide range of platforms like arXiv, PubMed, and bioRxiv. It's built for researchers and AI-driven workflows, providing standardized tools for deep research.

Question 2

Which academic platforms can Paper Search access?

Accepted Answer

Currently, Paper Search supports arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, and Semantic Scholar, with plans to integrate even more sources like Science Direct and IEEE Xplore.

Question 3

In what format are papers returned by Paper Search?

Accepted Answer

Papers are consistently returned in a dictionary format via the `Paper` class. This standardized output ensures easy processing and integration into various applications and AI models.

Question 4

Is Paper Search suitable for in-depth academic research?

Accepted Answer

Absolutely. It's designed as a 'Deep Research Ready' tool, providing efficient and asynchronous retrieval of academic literature. Its multi-source support and standardized output make it ideal for comprehensive literature reviews and AI-powered research analysis.

Question 5

How does Paper Search integrate with Large Language Models (LLMs)?

Accepted Answer

It serves as an MCP server, offering standardized 'search' and 'fetch' tools essential for OpenAI Deep Research and ChatGPT connectors. This enables seamless integration with MCP clients like Claude Desktop, enhancing LLM capabilities with real-time academic paper access.

Paper Search

Paper Search

Key Features

Use Cases

Key Features

Use Cases