Stanford bioRxiv MCP Server for Pydantic AIGive Pydantic AI 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

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Stanford bioRxiv through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Stanford bioRxiv MCP Server for Pydantic AI 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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Stanford bioRxiv "
            "(16 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Stanford bioRxiv?"
    )
    print(result.data)

asyncio.run(main())

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* 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

About Stanford bioRxiv MCP Server

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

Pydantic AI validates every Stanford bioRxiv tool response against typed schemas, catching data inconsistencies at build time. Connect 16 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 16 tools from Stanford bioRxiv with type-safe schemas

Why Use Pydantic AI with the Stanford bioRxiv MCP Server

Pydantic AI provides unique advantages when paired with Stanford bioRxiv through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Stanford bioRxiv integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Stanford bioRxiv connection logic from agent behavior for testable, maintainable code

Stanford bioRxiv + Pydantic AI Use Cases

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

Type-safe data pipelines: query Stanford bioRxiv with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Stanford bioRxiv tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Stanford bioRxiv and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Stanford bioRxiv responses and write comprehensive agent tests

Example Prompts for Stanford bioRxiv in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Stanford bioRxiv + Pydantic AI FAQ

Common questions about integrating Stanford bioRxiv MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Stanford bioRxiv MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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