Stanford bioRxiv MCP Server for CrewAIGive CrewAI instant access to 16 tools to Get Preprint, Get Preprint Versions, Get Published Tracking, and more

Name: Stanford bioRxiv
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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Connect your CrewAI agents to Stanford bioRxiv through Vinkius, pass the Edge URL in the `mcps` parameter and every Stanford bioRxiv tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Stanford bioRxiv MCP Server for CrewAI is a standout in the Education category — giving your AI agent 16 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Stanford bioRxiv Specialist",
    goal="Help users interact with Stanford bioRxiv effectively",
    backstory=(
        "You are an expert at leveraging Stanford bioRxiv tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Stanford bioRxiv "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 16 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Stanford bioRxiv MCP Server

Connect to the bioRxiv and medRxiv APIs — the world's leading preprint servers for biology and health sciences.

When paired with CrewAI, Stanford bioRxiv becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Stanford bioRxiv tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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.

The Stanford bioRxiv MCP Server exposes 16 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Stanford bioRxiv tools available for CrewAI

When CrewAI connects to Stanford bioRxiv through Vinkius, your AI agent gets direct access to every tool listed below — spanning biorxiv, medrxiv, preprints, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get preprint on Stanford bioRxiv

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

get

Get preprint versions on Stanford bioRxiv

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

get

Get published tracking on Stanford bioRxiv

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

get

Get published version on Stanford bioRxiv

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

get

Get recent biorxiv on Stanford bioRxiv

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

get

Get recent medrxiv on Stanford bioRxiv

Covers clinical medicine, epidemiology, public health, and health systems research. Critical for monitoring emerging health research before journal publication. Get the latest medRxiv preprints

Search biorxiv on Stanford bioRxiv

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

Search by category on Stanford bioRxiv

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

Search by institution on Stanford bioRxiv

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

Search cancer on Stanford bioRxiv

Covers tumor biology, oncogenomics, cancer immunology, drug resistance, and experimental therapeutics. Browse cancer biology preprints

Search cell biology on Stanford bioRxiv

Covers cell signaling, organelle biology, cytoskeleton, cell division, stem cells, and cellular mechanisms of disease. Browse cell biology preprints

Search epidemiology on Stanford bioRxiv

Covers disease surveillance, outbreak analysis, population health, health policy, and clinical epidemiology. Critical for public health monitoring. Browse epidemiology and public health preprints

Search genomics on Stanford bioRxiv

Covers genome sequencing, gene regulation, epigenomics, metagenomics, and computational genomics — core disciplines in modern biology. Browse genomics and bioinformatics preprints

Search immunology on Stanford bioRxiv

Covers immune system research, host-pathogen interactions, vaccine development, autoimmune diseases, and immunotherapy. Browse immunology and microbiology preprints

Search medrxiv on Stanford bioRxiv

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

Search neuroscience on Stanford bioRxiv

Neuroscience is one of the largest and most active categories, covering brain research, neural circuits, cognitive science, and neurological disorders. Browse neuroscience preprints

Connect Stanford bioRxiv to CrewAI via MCP

Follow these steps to wire Stanford bioRxiv into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 16 tools from Stanford bioRxiv

Why Use CrewAI with the Stanford bioRxiv MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Stanford bioRxiv through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Stanford bioRxiv + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Stanford bioRxiv MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Stanford bioRxiv for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Stanford bioRxiv, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Stanford bioRxiv tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Stanford bioRxiv against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Stanford bioRxiv in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Stanford bioRxiv immediately.

"Show me the latest neuroscience preprints"

"Has preprint 10.1101/2024.01.15.575123 been published in a journal?"

"Find the latest genomics preprints from this week"

Troubleshooting Stanford bioRxiv MCP Server with CrewAI

Common issues when connecting Stanford bioRxiv to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Stanford bioRxiv + CrewAI FAQ

Common questions about integrating Stanford bioRxiv MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.