Compatible with every major AI agent and IDE
What is the Stanford bioRxiv MCP Server?
Connect to the bioRxiv and medRxiv APIs — the world's leading preprint servers for biology and health sciences.
What you can do
- bioRxiv Preprints — Browse the latest biology preprints across 25+ categories
- medRxiv Preprints — Browse health sciences preprints (clinical, epidemiology, public health)
- Category Filters — Neuroscience, genomics, cell biology, cancer, immunology, and more
- Preprint Details — Get full metadata including abstracts by DOI
- Version Tracking — See how a preprint has been revised over time
- Publication Tracking — Discover which preprints have been published in peer-reviewed journals
- Institution View — Browse preprints by corresponding author institution
- Subject Feeds — Dedicated feeds for neuroscience, genomics, immunology, cell biology, cancer, and epidemiology
Why preprints matter
Preprints appear 6-12 months before peer-reviewed publication. This server gives you access to science at the cutting edge — the same day researchers share their findings with the world.
Who is this for?
- Biologists — stay current with your field before journals publish
- Medical Researchers — monitor clinical and epidemiological preprints
- PhD Students — discover the freshest research in your specialty
- Science Journalists — track breaking scientific discoveries
Built-in capabilities (16)
Searches both bioRxiv and medRxiv. Returns title, authors, corresponding author and institution, date, version, category, abstract, and license. DOI format: "10.1101/2024.01.15.575123". Get preprint details by DOI
Preprints on bioRxiv/medRxiv can be updated multiple times. This lets you see the full revision history and understand how a manuscript has evolved. Get all versions of a preprint to track revisions
Shows the preprint DOI, published DOI, journal name, and publication date. Essential for understanding the preprint-to-publication pipeline. Track which preprints have been published in journals
Returns the published DOI, journal citation, and publication date. Essential for finding the final, peer-reviewed version of a preprint you have read. Find the journal-published version of a preprint
Default is 7 days. Essential for staying at the cutting edge of biological research — preprints appear here 6-12 months before peer-reviewed publication. Get the latest bioRxiv preprints
Covers clinical medicine, epidemiology, public health, and health systems research. Critical for monitoring emerging health research before journal publication. Get the latest medRxiv preprints
The bioRxiv API returns preprints in batches of 100. Use the date interval format "YYYY-MM-DD/YYYY-MM-DD" (e.g. "2024-01-01/2024-01-31"). Use cursor for pagination (0, 100, 200, etc.). Browse bioRxiv preprints by date range
bioRxiv categories include: neuroscience, genomics, bioinformatics, cell_biology, cancer_biology, immunology, microbiology, molecular_biology, biochemistry, genetics, developmental_biology, evolutionary_biology, ecology, plant_biology, physiology, pharmacology, systems_biology, biophysics, synthetic_biology. medRxiv categories: epidemiology, infectious_diseases, public_and_global_health, health_systems, cardiovascular_medicine, oncology, psychiatry, neurology. Filter preprints by subject category
Use this to explore what institutions are producing preprints in a given time period. Each preprint includes the corresponding author and their institutional affiliation. Browse preprints with author institution metadata
Covers tumor biology, oncogenomics, cancer immunology, drug resistance, and experimental therapeutics. Browse cancer biology preprints
Covers cell signaling, organelle biology, cytoskeleton, cell division, stem cells, and cellular mechanisms of disease. Browse cell biology preprints
Covers disease surveillance, outbreak analysis, population health, health policy, and clinical epidemiology. Critical for public health monitoring. Browse epidemiology and public health preprints
Covers genome sequencing, gene regulation, epigenomics, metagenomics, and computational genomics — core disciplines in modern biology. Browse genomics and bioinformatics preprints
Covers immune system research, host-pathogen interactions, vaccine development, autoimmune diseases, and immunotherapy. Browse immunology and microbiology preprints
medRxiv covers clinical research, epidemiology, public health, and health policy. Use interval "YYYY-MM-DD/YYYY-MM-DD" format. Results paginated in batches of 100. Browse medRxiv preprints by date range
Neuroscience is one of the largest and most active categories, covering brain research, neural circuits, cognitive science, and neurological disorders. Browse neuroscience preprints
Why LlamaIndex?
LlamaIndex agents combine Stanford bioRxiv tool responses with indexed documents for comprehensive, grounded answers. Connect 16 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Stanford bioRxiv tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Stanford bioRxiv tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Stanford bioRxiv, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Stanford bioRxiv tools were called, what data was returned, and how it influenced the final answer
Stanford bioRxiv in LlamaIndex
Stanford bioRxiv and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Stanford bioRxiv to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Stanford bioRxiv in LlamaIndex
The Stanford bioRxiv MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Stanford bioRxiv for LlamaIndex
Every tool call from LlamaIndex to the Stanford bioRxiv MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Do I need an API key?
No. The bioRxiv and medRxiv APIs are completely free and public.
What is the difference between bioRxiv and medRxiv?
bioRxiv covers biological sciences (neuroscience, genomics, cell biology, ecology, etc.) while medRxiv covers health sciences (clinical research, epidemiology, public health, health systems).
Are preprints peer-reviewed?
No. Preprints are shared before formal peer review. They undergo basic screening but not the full editorial process. This server also tracks which preprints later get published in peer-reviewed journals.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Stanford bioRxiv tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
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Install: pip install llama-index-tools-mcp
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