Harvard ClinicalTrials MCP. Find structured data on global medical research.

Q: How do I find trials for a specific disease using Harvard ClinicalTrials MCP?

You use the searchbycondition tool. This lets you input major diseases, like 'breast cancer' or 'hypertension,' to pull all relevant studies registered across the globe.

Q: Can I find out if a drug is undergoing testing in my area using Harvard ClinicalTrials MCP?

Yes. Combine searchbycondition with searchbylocation. This combination narrows down studies to both the disease and your specific geographic region.

Q: What if I only want to see trials that are finished? Should I use searchcompleted?

Using searchcompleted is the most direct way. It filters out all active or planned studies, giving you a list more likely to contain published outcome data from the past.

Q: How do I check which company sponsors a certain type of trial using Harvard ClinicalTrials MCP?

Use searchbysponsor. You can input an organization name, like 'Pfizer,' to see every study they are currently overseeing or have completed.

Harvard ClinicalTrials lets you search and pull data from ClinicalTrials.gov, the massive database tracking global clinical studies. You can filter results by disease, drug, location, or study phase to pinpoint evidence for research, treatment decisions, or competitive analysis.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Give Claude and any AI agent real-world access

Identify active study enrollment

Find trials that are currently accepting new participants.

Filter by disease or drug

Narrow searches down to specific medical conditions or treatments, like immunotherapy or cystic fibrosis care.

Track development stages

Limit results to a particular phase of research (Phase 1 through Phase 4).

Get detailed trial records

Pull comprehensive information about a single study, including its sponsor and locations.

Search for medical devices

Isolate studies focusing on implants, diagnostic tools, or surgical technology.

Ask an AI about this

Waiting for input…

AI Agent

What AI agents can do with Harvard ClinicalTrials: 17 Tools for Research

These tools let you systematically pull structured data about clinical studies, from filtering by rare diseases to retrieving specific outcome results.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Harvard ClinicalTrials MCP

Get Api Version

Checks the data source version and when the information was last updated to confirm its currency.

Get Study

Retrieves all details for a specific trial using its official NCT identifier.

Get Study Results

Pulls the primary outcome data, useful primarily for studies that have finished...

Get Study Timeline

Maps out key dates and progress points to understand how far along a study is in its...

Search By Condition

Finds trials that specifically target a named disease, like cancer or depression.

Search By Intervention

Searches for studies involving a specific drug, therapy, or treatment type.

Search By Location

Narrows the search results to trials accessible in a particular city or country.

Search By Phase

Filters results by the drug development stage, such as Phase 1 (safety) or Phase 3...

Search By Sponsor

Limits the search to trials backed by a specific organization like Pfizer or NIH.

Search Completed

Retrieves only studies that have finished, increasing the chance of finding...

Search Device Trials

Finds research focused on medical equipment, implants, or digital health tools.

Search Fda Regulated

Filters results to include only studies that adhere to strict U.S. Food and Drug Administration standards.

Search Pediatric

Focuses the search on trials designed for children or adolescents.

Search Rare Diseases

Identifies research efforts dedicated to uncommon conditions, such as cystic...

Search Recruiting

Finds studies that are currently enrolling participants and accepting applications.

Search Studies

Performs a broad search across the entire database for basic study metadata.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Harvard ClinicalTrials MCP is compatible with Claude

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Harvard ClinicalTrials integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "harvard-clinicaltrials": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Harvard ClinicalTrials tools with full Vinkius guardrails applied.

Harvard ClinicalTrials MCP is compatible with VS Code

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"harvard-clinicaltrials": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on each call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Harvard ClinicalTrials, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,200+ others, all in one place
Add new capabilities to your AI anytime you want
Connections are secured and governed automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog weekly

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ClinicalTrials.gov. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The endless click-through process of tracking clinical data is exhausting.

Today, if you want to know what trials exist for, say, rare neurodegenerative diseases in the Northeast, you have to jump between multiple government portals. You start on one site for condition filters, then switch to another to check location limits, and finally copy-paste names into a third tool just to see which sponsors are involved. It takes hours of clicking through tabs and manually cross-referencing data points.

With this MCP, your agent handles the entire pipeline in a single prompt. You ask for 'rare disease trials for X condition near Y location.' The system immediately runs multiple checks—condition filtering, geographic mapping, and status checks—and delivers a clean, organized summary. You get answers, not links to ten different forms.

Getting Structured Evidence with Harvard ClinicalTrials MCP

The manual process of checking if a study is still relevant means manually verifying the dates and status. You spend time figuring out if the trial was 'completed' or just paused, wasting valuable research time on dead ends.

Now, your agent can use tools like `get_study_timeline` to give you the exact progress history of any study instantly. It cuts through the ambiguity. You get reliable status data and outcome reports when they are ready.

Support 24/7 support@vinkius.com ↗

Security Vinkius Trust Center ↗

SLA Service Level Agreement ↗

Report Listing Send Report ↗

clinical-trials

medical-research

drug-development

public-health

data-retrieval

disease-tracking

What Harvard ClinicalTrials MCP does for your AI

This MCP connects your AI agent directly to ClinicalTrials.gov API v2, giving you access to one of the world's largest databases of registered clinical studies. Instead of wading through general academic literature, you pull structured data about real-world drug development and research efforts.

You can track specific medical conditions, like diabetes or rare diseases, across thousands of trials globally. Need to know if a new treatment is being tested by a major organization? You can search by sponsor (like NIH or Pfizer) or filter only for FDA-regulated device studies. The tool lets you pull detailed study records—including eligibility criteria and outcome data from completed phases—and even map out the timeline of a specific investigation.

When integrated into Vinkius, your AI client treats this vast dataset like an indexed resource, turning complex filtering tasks into simple prompts.

Built · Hosted · Managed by Vinkius Harvard ClinicalTrials MCP - Global Drug & Study Data

Server ID 019dea5e-b018-71dd-ab6b-af735e48ac2a

Vinkius Inspector

Compliance Grade A+

Score 98.33/100

Report View Report ↗

Benefits of connecting Harvard ClinicalTrials MCP

Pinpoint exactly where drug development stands by using search_by_phase to filter results between Phase 1 and Phase 4, avoiding irrelevant or preliminary studies.

Stop guessing who's doing the work. Use search_by_sponsor to track specific organizations like Novartis or Roche, allowing you to map out a competitor’s entire research pipeline in one go.

For patient care, use search_by_condition and combine it with search_by_location to find active trials for diseases like Alzheimer's near a specific zip code. This is far more targeted than reading general literature.

Get the full picture of a single investigation by using get_study, which pulls title, status, conditions, and interventions all in one place, giving you immediate context on the trial’s scope.

The ability to search for medical devices separately with search_device_trials lets you focus only on hardware or implant studies, keeping your analysis clean and highly specialized.

Harvard ClinicalTrials MCP use cases

01 01

Evaluating a new drug's viability

A pharma analyst needs to see if any competitors are testing similar compounds. They ask their agent to combine search_by_sponsor (for known rivals) with search_by_intervention (for the specific compound). The system returns all relevant trials, providing a clear view of the competitive landscape.

02 02

Assisting an eligible patient

A physician wants to find local options. They ask their agent to use search_by_pediatric and combine it with search_by_location. The result pinpoints available, child-specific trials in the patient's county.

03 03

Completing a medical literature review

A researcher needs to synthesize evidence. They start by using search_studies for a broad overview, then refine it by combining search_by_condition (e.g., 'cystic fibrosis') and search_completed to ensure they only analyze final results.

04 04

Checking on the status of an old study

A clinician is curious about a trial from five years ago. They use get_study_timeline on the NCT ID to see if it was ever updated or completed, giving them confidence in the data's currency.

Harvard ClinicalTrials MCP tradeoffs

What to watch out for, and the recommended way to handle each one.

Searching too broadly

Avoid

Asking your agent simply to 'find trials for cancer.' This returns tens of thousands of results—most irrelevant, overwhelming, and impossible to analyze manually.

Instead

You must narrow the search using multiple filters. Start with search_by_condition (cancer), then add a second filter like search_by_phase (Phase 3) and combine it with search_by_sponsor (NIH) for a manageable, highly targeted result set.

Confusing study status

Avoid

Assuming that because a trial was listed years ago, it's still running. You might pull outdated data on eligibility or outcomes.

Instead

Always check the current status by using search_recruiting if you want active studies. If you need final data points, use search_completed first.

Ignoring device trials

Avoid

Only searching for drugs and ignoring new technologies. You might miss out on breakthrough diagnostics or implants.

Instead

If your scope includes hardware or technology, always run a search using search_device_trials to ensure you're catching the full spectrum of medical innovation.

When to use Harvard ClinicalTrials MCP

Use this MCP if your core need is structured data from registered clinical trials. You must be analyzing specific drugs, diseases, or devices that have gone through formal testing phases (Phase 1-4). If you're writing a general review of medical history or need to find scientific papers discussing theory, don't use this; go with a general academic literature search tool instead. Don't use it if you are only interested in non-clinical research, like basic animal studies that haven't been registered as human trials. If your goal is competitive intelligence regarding drug pipelines, combine search_by_sponsor with search_by_intervention. However, if you simply need general health information for a patient (e.g., 'what are the symptoms of diabetes?'), this MCP isn't designed for that; use a reliable medical encyclopedia instead.

Frequently asked questions about Harvard ClinicalTrials MCP

How do I find trials for a specific disease using Harvard ClinicalTrials MCP? +

You use the search_by_condition tool. This lets you input major diseases, like 'breast cancer' or 'hypertension,' to pull all relevant studies registered across the globe.

Can I find out if a drug is undergoing testing in my area using Harvard ClinicalTrials MCP? +

Yes. Combine search_by_condition with search_by_location. This combination narrows down studies to both the disease and your specific geographic region.

What if I only want to see trials that are finished? Should I use search_completed? +

Using search_completed is the most direct way. It filters out all active or planned studies, giving you a list more likely to contain published outcome data from the past.

How do I check which company sponsors a certain type of trial using Harvard ClinicalTrials MCP? +

Use search_by_sponsor. You can input an organization name, like 'Pfizer,' to see every study they are currently overseeing or have completed.

Does the Harvard ClinicalTrials MCP include data for medical implants and devices? +

Yes. If you're interested in hardware—like surgical tools or diagnostics—use search_device_trials to filter out drug-based studies entirely.

Give Claude and any AI agent real-world access

What AI agents can do with Harvard ClinicalTrials: 17 Tools for Research

Get Api Version

Checks the data source version and when the information was last updated to confirm its currency.

Get Study

Retrieves all details for a specific trial using its official NCT identifier.

Get Study Results

Pulls the primary outcome data, useful primarily for studies that have finished...

Get Study Timeline

Maps out key dates and progress points to understand how far along a study is in its...

Search By Condition

Finds trials that specifically target a named disease, like cancer or depression.

Search By Intervention

Searches for studies involving a specific drug, therapy, or treatment type.

Search By Location

Narrows the search results to trials accessible in a particular city or country.

Search By Phase

Filters results by the drug development stage, such as Phase 1 (safety) or Phase 3...

Search By Sponsor

Limits the search to trials backed by a specific organization like Pfizer or NIH.

Search Completed

Retrieves only studies that have finished, increasing the chance of finding...

Search Device Trials

Finds research focused on medical equipment, implants, or digital health tools.

Search Fda Regulated

Filters results to include only studies that adhere to strict U.S. Food and Drug Administration standards.

Search Pediatric

Focuses the search on trials designed for children or adolescents.

Search Rare Diseases

Identifies research efforts dedicated to uncommon conditions, such as cystic...

Search Recruiting

Finds studies that are currently enrolling participants and accepting applications.

Search Studies

Performs a broad search across the entire database for basic study metadata.

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

The endless click-through process of tracking clinical data is exhausting.

Getting Structured Evidence with Harvard ClinicalTrials MCP

clinical-trials

medical-research

drug-development

public-health

data-retrieval

disease-tracking

What Harvard ClinicalTrials MCP does for your AI

How to set up Harvard ClinicalTrials MCP

Who uses Harvard ClinicalTrials MCP