Source repository of biological preprints
AI Models & Assistants / Knowledge library
bioRxiv (Claude connector)
Access bioRxiv and medRxiv preprint data
Why learn bioRxiv (Claude connector)?
Brings bioRxiv capabilities into Claude so the assistant can work with that service's context.
The problem it solves
Reduces manual handoffs between Claude and bioRxiv.
Where it came from
bioRxiv (Claude connector): Access bioRxiv and medRxiv preprint data Directory record checked 2026-10-13. Availability depends on region, plan, permissions and the publisher. Directory presence does not establish a quality ranking.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Explain what bioRxiv (Claude connector) does.
- Identify a use case for bioRxiv (Claude connector).
- Describe a limitation of bioRxiv (Claude connector).
- Name a compatible tool for bioRxiv (Claude connector).
- Compare bioRxiv (Claude connector) against an alternative.
Documentation and sources
- Primary source / model card (claude.com)
Catalog research notes
- See the AI Workbench for source dates, pricing evidence and configuration details.
Connect the ideas
Built on
Real World Example
Accelerating Oncology Drug Discovery via Preprint Synthesis
A mid-sized oncology research firm focused on identifying novel protein kinase inhibitors.
The business problem
Researchers lose weeks manually monitoring hundreds of new biological preprints, leading to delayed identification of emerging therapeutic targets and redundant experimental efforts.
How this topic solves it
The bioRxiv connector enables Claude to programmatically query the latest preprints, allowing the research team to synthesize findings across multiple biological categories without manual literature review.
- Configure the bioRxiv connector within the Claude environment to establish API connectivity.
- Define specific search parameters using the search_preprints tool to filter for kinase-related keywords.
- Execute automated queries to retrieve metadata and abstracts for papers published within the last 48 hours.
- Instruct Claude to summarize the findings and highlight potential conflicts with existing internal research pipelines.
This diagram illustrates the flow from raw preprint data to actionable research insights.
Interface for search_preprints tool
Claude-generated summary of findings
Verification via search_published_articles
- bioRxiv/medRxiv → data retrieval → Claude Connector
- Claude Connector → summarization → Research Synthesis
- Research Synthesis → validation → Peer Review Check
Expected business outcome
The research team achieves a more agile R&D cycle by identifying relevant preprints in near real-time, allowing for faster pivot decisions in experimental design.
Limitations and checks
The connector accesses preprints that have not yet undergone peer review; users must verify the scientific rigor of findings by checking the get_published_articles tool to see if a peer-reviewed version exists.