Enables AI assistants to search and access biology preprints from bioRxiv through a Model Context Protocol (MCP) interface.
Sponsored
BioRxiv provides a bridge between AI assistants and bioRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for biology preprints and access their metadata in a programmatic way, facilitating research and analysis in the biological sciences. The server offers tools to search, retrieve metadata, and even download paper content, enhancing the capabilities of AI in scientific exploration.
Key Features
01Fast access to paper metadata
02Facilitate biological sciences research and analysis
034 GitHub stars
04Query bioRxiv papers with keywords or advanced search
05Retrieve detailed metadata for specific papers
06Download and read paper content
Use Cases
01Searching for recent papers about genomics using keywords
02Enabling AI assistants to stay updated on the latest biology preprints
03Fetching metadata for a bioRxiv article using its DOI