How to Use the Harvard ClinicalTrials MCP in Cline

Q: Does the Harvard ClinicalTrials MCP Server support sponsor filtering in Cline?

Yes, Cline uses searchbysponsor to filter trials funded by specific pharmaceutical companies or academic institutions like Harvard.

Q: Can Cline fetch trial results from the Harvard ClinicalTrials database?

Yes, Cline uses getstudyresults to extract primary outcomes and statistical data for completed trials, helping you compile competitive analysis reports.

Build clinical data dashboards and automate trial screening end-to-end directly in Cline.

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Connect Harvard ClinicalTrials MCP to Cline

Create your Vinkius account to connect Harvard ClinicalTrials to Cline 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 Cline

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Build interactive trial dashboards in Cline

Cline uses the `get_study` tool to fetch raw clinical protocols and build custom interactive dashboards in your workspace. If you need to verify data currency, Cline calls `get_api_version` to make sure your custom dashboard is pulling the freshest updates from the government registry.

Automate FDA drug trial compliance checks in Cline

Speed up your regulatory review by letting Cline run structured queries using the `search_fda_regulated` tool. It combines this with `search_by_phase` to isolate phase 3 trials that must comply with strict federal standards.

Batch process rare disease trials

When researching orphan drugs, Cline calls `search_rare_diseases` to find trials and extract precise clinical parameters using this MCP Server. The agent writes the data processing scripts, runs them locally, and stages the clean CSV directly in your git repository.

Setup guide

Set up Harvard ClinicalTrials MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type harvard-clinicaltrials-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Harvard ClinicalTrials refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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 Cline

Absolutely. Cline uses this MCP integration to fetch raw trial data via `search_studies` and then writes custom Python scripts to parse the JSON files directly in your workspace.

You ask Cline to find active trials in a specific city, and the agent calls `search_by_location` and filters the results to show only recruiting sites using `search_recruiting`.

Yes, Cline uses `search_by_sponsor` to filter trials funded by specific pharmaceutical companies or academic institutions like Harvard.

Yes, Cline uses `get_study_results` to extract primary outcomes and statistical data for completed trials, helping you compile competitive analysis reports.

The server fetches public NCT IDs and study protocols from the registry. Vinkius secures this data stream using ephemeral sandboxes, meaning your proprietary research queries and local file context never persist on external servers.

Use it with your favorite AI tools

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