Harvard ClinicalTrials MCP Server for Pydantic AIGive Pydantic AI instant access to 16 tools to Get Api Version, Get Study, Get Study Results, and more

Name: Harvard ClinicalTrials
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Harvard ClinicalTrials MCP Server for Pydantic AI 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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 Harvard ClinicalTrials "
            "(16 tools)."
        ),
    )

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

asyncio.run(main())

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.

Pydantic AI validates every Harvard ClinicalTrials 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

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 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 Harvard ClinicalTrials tools available for Pydantic AI

When Pydantic AI 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 by condition on Harvard ClinicalTrials

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

Search by intervention on Harvard ClinicalTrials

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

Search by location on Harvard ClinicalTrials

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

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 by sponsor on Harvard ClinicalTrials

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

Search completed on Harvard ClinicalTrials

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

Search device trials on Harvard ClinicalTrials

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

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 pediatric on Harvard ClinicalTrials

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

Search rare diseases on Harvard ClinicalTrials

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

Search recruiting on Harvard ClinicalTrials

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

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 Pydantic AI via MCP

Follow these steps to wire Harvard ClinicalTrials 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 Harvard ClinicalTrials with type-safe schemas

Why Use Pydantic AI with the Harvard ClinicalTrials MCP Server

Pydantic AI provides unique advantages when paired with Harvard ClinicalTrials 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 Harvard ClinicalTrials integration code

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

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

Harvard ClinicalTrials + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Harvard ClinicalTrials in Pydantic AI

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

"Find recruiting Phase 3 trials for breast cancer immunotherapy"

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

"Find pediatric clinical trials for cystic fibrosis"

Troubleshooting Harvard ClinicalTrials MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Harvard ClinicalTrials + Pydantic AI FAQ

Common questions about integrating Harvard ClinicalTrials 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 Harvard ClinicalTrials MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.