Harvard ClinicalTrials MCP Server for CrewAIGive CrewAI instant access to 16 tools to Get Api Version, Get Study, Get Study Results, and more
Connect your CrewAI agents to Harvard ClinicalTrials through Vinkius, pass the Edge URL in the `mcps` parameter and every Harvard ClinicalTrials tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The Harvard ClinicalTrials MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 16 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from crewai import Agent, Task, Crew
agent = Agent(
role="Harvard ClinicalTrials Specialist",
goal="Help users interact with Harvard ClinicalTrials effectively",
backstory=(
"You are an expert at leveraging Harvard ClinicalTrials tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Harvard ClinicalTrials "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 16 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Harvard ClinicalTrials becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Harvard ClinicalTrials tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI
When CrewAI 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 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 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 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 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 CrewAI via MCP
Follow these steps to wire Harvard ClinicalTrials into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 16 tools from Harvard ClinicalTrialsWhy Use CrewAI with the Harvard ClinicalTrials MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Harvard ClinicalTrials through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Harvard ClinicalTrials + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Harvard ClinicalTrials MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Harvard ClinicalTrials for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Harvard ClinicalTrials, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Harvard ClinicalTrials tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Harvard ClinicalTrials against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for Harvard ClinicalTrials in CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Harvard ClinicalTrials to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Harvard ClinicalTrials + CrewAI FAQ
Common questions about integrating Harvard ClinicalTrials MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
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