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Clinical Trials (Claude connector)

Access ClinicalTrials.gov data

AI Workbench · sourced catalog

Why learn Clinical Trials (Claude connector)?

Brings Clinical Trials capabilities into Claude so the assistant can work with that service's context.

The problem it solves

Reduces manual handoffs between Claude and Clinical Trials.

Where it came from

Clinical Trials (Claude connector): Access ClinicalTrials.gov data Directory record checked 2026-10-13. Availability depends on region, plan, permissions and the publisher. Directory presence does not establish a quality ranking.

Build your understanding

Work through these exercises in order. Try the task before opening a reference.

  1. Explain what Clinical Trials (Claude connector) does.
  2. Identify a use case for Clinical Trials (Claude connector).
  3. Describe a limitation of Clinical Trials (Claude connector).
  4. Name a compatible tool for Clinical Trials (Claude connector).
  5. Compare Clinical Trials (Claude connector) against an alternative.

Documentation and sources

Catalog research notes

Connect the ideas

Built on

Claude connector platformModel Context Protocol (workbench)

Real World Example

Illustrative business scenario · AI-generated from linked documentation · Not a measured customer case study

Accelerating Rare Disease Patient Recruitment

A patient advocacy group focused on rare neurological disorders.

The business problem

The group struggles to manually cross-reference emerging clinical trial eligibility criteria against their patient registry, leading to missed enrollment opportunities for time-sensitive studies.

How this topic solves it

By integrating the Clinical Trials connector, the group enables Claude to programmatically query ClinicalTrials.gov using specific patient profile parameters, automatically filtering active studies that match the registry's inclusion criteria.

  1. Configure the Clinical Trials connector using the provided MCP endpoint to establish a secure link to ClinicalTrials.gov.
  2. Define the patient registry's core clinical attributes as structured input parameters for the Claude interface.
  3. Invoke the search_by_eligibility tool to map patient profiles against active trial inclusion and exclusion criteria.
  4. Utilize get_trial_details to extract contact information and site locations for the most relevant matches.
  5. Review the synthesized output to generate targeted outreach summaries for patients.
Trial Matching Workflow · Process flow

This diagram illustrates the data flow from the patient registry through the Claude connector to the final trial identification.

Patient Registry

Contains anonymized clinical attributes

Claude Interface

Orchestrates the connector tools

ClinicalTrials.gov

External registry database

Outreach Summary

Actionable list for patients

  • Patient Registry → Input clinical parameters → Claude Interface
  • Claude Interface → search_by_eligibility → ClinicalTrials.gov
  • ClinicalTrials.gov → Return matching trials → Claude Interface
  • Claude Interface → Synthesize results → Outreach Summary

Expected business outcome

The advocacy group gains the ability to rapidly identify and communicate relevant clinical trial opportunities to their patient community, significantly reducing the administrative burden of manual screening.

Limitations and checks

The connector relies on the accuracy of data submitted to ClinicalTrials.gov; if a study sponsor provides outdated or incomplete eligibility criteria, the search results may be misleading. Users should verify trial status directly via the provided NCT identifier.

Sources

Generated 2026-10-18 with gemini-3.1-flash-lite. Your assessment includes two questions about this example.

Catalog source: technology-maxxing. This page reproduces the existing catalog’s learning material and source links.