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Harvard ClinicalTrials MCP Server for LangChainGive LangChain instant access to 16 tools to Get Api Version, Get Study, Get Study Results, and more

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

Ask AI about this MCP Server for LangChain

The Harvard ClinicalTrials MCP Server for LangChain is a standout in the Data Analytics 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({
        "harvard-clinicaltrials": {
            "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 Harvard ClinicalTrials, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Harvard ClinicalTrials
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Harvard ClinicalTrials MCP Server

Connect to the ClinicalTrials.gov API v2 — the largest database of clinical studies worldwide, maintained by the U.S. National Library of Medicine.

LangChain's ecosystem of 500+ components combines seamlessly with Harvard ClinicalTrials 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

  • Study Search — Search 400K+ clinical trials from 220+ countries
  • Condition Filter — Find trials for specific diseases (cancer, diabetes, Alzheimer's)
  • Intervention Filter — Search by drug, device, or therapy name
  • Sponsor Search — Find trials by organization (Pfizer, NIH, Roche)
  • Phase Filter — Filter by Phase 1-4 to track drug development stages
  • Recruiting — Find trials currently enrolling participants
  • Location — Search by city or country for accessible trials
  • FDA Regulated — Filter for FDA-regulated drug and device trials
  • Pediatric — Find trials including children
  • Rare Diseases — Discover research for orphan conditions
  • Results — Get outcome data from completed studies

The Harvard ClinicalTrials 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 Harvard ClinicalTrials tools available for LangChain

When LangChain connects to Harvard ClinicalTrials through Vinkius, your AI agent gets direct access to every tool listed below — spanning clinical-trials, medical-research, drug-development, 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 api version on Harvard ClinicalTrials

gov API version and the timestamp of the most recent data update. Useful for verifying data currency and API availability. Get API version and data timestamp

get

Get study on Harvard ClinicalTrials

g. "NCT04368728"). Returns title, status, phase, enrollment, conditions, interventions, eligibility criteria, sponsor, and study locations. Get clinical trial details by NCT ID

get

Get study results on Harvard ClinicalTrials

Not all trials report results — this is most useful for completed Phase 2-4 studies. Get primary outcome results for a trial

get

Get study timeline on Harvard ClinicalTrials

Essential for understanding the progress and currency of a study. Get the complete timeline of a clinical trial

search

Search by condition on Harvard ClinicalTrials

Examples: "diabetes", "breast cancer", "Alzheimer disease", "COVID-19", "depression", "hypertension". Search trials by medical condition

search

Search by intervention on Harvard ClinicalTrials

Examples: "pembrolizumab", "metformin", "radiation therapy", "cognitive behavioral therapy". Search trials by drug or treatment

search

Search by location on Harvard ClinicalTrials

Essential for finding trials accessible to patients in a particular area. Search trials by geographic location

search

Search by phase on Harvard ClinicalTrials

Phase values: "PHASE1", "PHASE2", "PHASE3", "PHASE4", "EARLY_PHASE1". Phase 3 trials are the largest and most definitive, while Phase 1 trials focus on safety. Search trials by study phase

search

Search by sponsor on Harvard ClinicalTrials

Examples: "Pfizer", "National Cancer Institute", "Roche", "Novartis", "NIH". Search trials by sponsoring organization

search

Search completed on Harvard ClinicalTrials

Completed trials are more likely to have published results and outcomes data. Search completed clinical trials

search

Search device trials on Harvard ClinicalTrials

Covers diagnostic devices, surgical tools, implants, and digital health technologies. Search medical device clinical trials

search

Search fda regulated on Harvard ClinicalTrials

S. Food and Drug Administration. These trials follow the most rigorous regulatory standards. Search FDA-regulated drug trials

search

Search pediatric on Harvard ClinicalTrials

Essential for pediatricians, child health researchers, and parents seeking trials for children. Search pediatric clinical trials

search

Search rare diseases on Harvard ClinicalTrials

Examples: "cystic fibrosis", "sickle cell disease", "Huntington disease", "amyotrophic lateral sclerosis". Search rare disease clinical trials

search

Search recruiting on Harvard ClinicalTrials

Essential for patients seeking to enroll in trials or researchers tracking active studies. Search for currently recruiting studies

search

Search studies on Harvard ClinicalTrials

gov database of over 400,000 clinical studies from 200+ countries. Returns NCT IDs, titles, status, phases, sponsors, conditions, interventions, and locations. Search 400K+ clinical trials worldwide

Connect Harvard ClinicalTrials to LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 16 tools from Harvard ClinicalTrials via MCP

Why Use LangChain with the Harvard ClinicalTrials MCP Server

LangChain provides unique advantages when paired with Harvard ClinicalTrials through the Model Context Protocol.

01

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

02

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

03

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

04

Memory and conversation persistence let agents maintain context across Harvard ClinicalTrials queries for multi-turn workflows

Harvard ClinicalTrials + LangChain Use Cases

Practical scenarios where LangChain combined with the Harvard ClinicalTrials MCP Server delivers measurable value.

01

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

02

Autonomous research agents: LangChain agents query Harvard ClinicalTrials, synthesize findings, and generate comprehensive research reports

03

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

04

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

Example Prompts for Harvard ClinicalTrials in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Harvard ClinicalTrials immediately.

01

"Find recruiting Phase 3 trials for breast cancer immunotherapy"

02

"Search for Alzheimer's disease trials sponsored by NIH in Boston"

03

"Find pediatric clinical trials for cystic fibrosis"

Troubleshooting Harvard ClinicalTrials MCP Server with LangChain

Common issues when connecting Harvard ClinicalTrials to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Harvard ClinicalTrials + LangChain FAQ

Common questions about integrating Harvard ClinicalTrials MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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