Stanford bioRxiv MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect Stanford bioRxiv through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "stanford-biorxiv": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Stanford bioRxiv, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Stanford bioRxiv through native MCP adapters. Connect 16 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 16 tools from Stanford bioRxiv via MCP

Why Use LangChain with the Stanford bioRxiv MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Stanford bioRxiv MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Stanford bioRxiv queries for multi-turn workflows

Stanford bioRxiv + LangChain Use Cases

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

RAG with live data: combine Stanford bioRxiv tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Stanford bioRxiv, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Stanford bioRxiv tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Stanford bioRxiv tool call, measure latency, and optimize your agent's performance

Example Prompts for Stanford bioRxiv in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Stanford bioRxiv + LangChain FAQ

Common questions about integrating Stanford bioRxiv MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.