How to Use the Harvard ClinicalTrials MCP in CrewAI

Q: Can I limit which Harvard ClinicalTrials tools my CrewAI agents use?

Yes. Use the toolfilter option in your CrewAI setup to restrict agents to specific tools, like only allowing access to searchstudies.

Q: Does Harvard ClinicalTrials allow CrewAI to search by location?

Yes. Use the searchbylocation tool to find trials in specific regions. Your agents can pass this location data dynamically during their research phase.

Deploy a specialized crew of autonomous agents to monitor global clinical trials with the Harvard ClinicalTrials MCP server.

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Connect Harvard ClinicalTrials MCP to CrewAI

Create your Vinkius account to connect Harvard ClinicalTrials to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Harvard ClinicalTrials with CrewAI

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Autonomous trial monitoring with CrewAI

Assign a researcher agent to scan for new entries using `search_recruiting`. It works alongside a monitor agent that keeps the team updated on trial status changes. This setup allows for continuous surveillance of the 400,000+ studies in the database. You define the goal, and the crew handles the discovery.

Specialized clinical research teams

Give your CrewAI agents distinct roles. One agent uses `search_by_phase` to find Phase 3 trials, while another uses `get_study_results` to analyze efficacy data. They share context, allowing the crew to make informed decisions about which trials warrant further investigation. It's a structured approach to medical data analysis.

Multi-tool clinical data extraction

Expose the full set of 16 tools to your agents. From `search_device_trials` to `search_by_sponsor`, the crew has the depth needed to answer complex research questions. You choose which tools each agent can access. This keeps your autonomous operations precise and prevents agents from using unnecessary resources.

Setup guide

Set up Harvard ClinicalTrials MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Harvard ClinicalTrials tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Harvard ClinicalTrials Analyst",
    goal="Access and analyze Harvard ClinicalTrials data via MCP.",
    backstory="Expert analyst with direct Harvard ClinicalTrials access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Harvard ClinicalTrials transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Harvard ClinicalTrials Analyst",
        goal="Access and analyze Harvard ClinicalTrials data via MCP.",
        backstory="Expert analyst with direct Harvard ClinicalTrials access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Harvard ClinicalTrials transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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.

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Common questions about Harvard ClinicalTrials MCP in CrewAI

Add the server URL to your Agent's mcps list. This gives every agent in your CrewAI team access to the 16 clinical trial tools.

Yes. Use the tool_filter option in your CrewAI setup to restrict agents to specific tools, like only allowing access to `search_studies`.

The server is designed for efficiency, but you should set timeout parameters in your CrewAI agent configuration to handle potential latency.

Yes. Use the `search_by_location` tool to find trials in specific regions. Your agents can pass this location data dynamically during their research phase.

The server acts as a gateway to public records. No proprietary or sensitive information is ever cached or exposed by the MCP connection.

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