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clinicaltrialsgov-mcp-server

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A Model Context Protocol (MCP) Server providing LLM tools for the official ClinicalTrials.gov REST API. Search and retrieve clinical trial data, including study details and more

30 stars TypeScriptAI & Machine Learning Updated Oct 18, 2025
bioinformaticsclinicaltrialshealthcaremcpmcp-server

Documentation


Overview

Seven tools for searching, discovering, analyzing, and matching clinical trials:

Tool NameDescription
`clinicaltrials_search_studies`Search studies with full-text queries, filters, pagination, sorting, and field selection.
`clinicaltrials_get_study_record`Fetch a single study by NCT ID. Returns the full record: protocol, eligibility, outcomes, arms, interventions, contacts, and locations.
`clinicaltrials_get_study_count`Get total study count for a query without fetching data. Fast statistics and breakdowns.
`clinicaltrials_get_field_values`Discover valid values for API fields (status, phase, study type, etc.) with per-value counts.
`clinicaltrials_get_field_definitions`Browse the study data model field tree — piece names, types, nesting. Supports subtree navigation and keyword search.
`clinicaltrials_get_study_results`Extract outcomes, adverse events, participant flow, and baseline from completed studies. Optional summary mode reduces ~200KB payloads to ~5KB; `outcomeLimit` / `adverseEventLimit` cap full mode without leaving it.
`clinicaltrials_find_eligible`Match patient demographics and conditions to eligible recruiting trials. Provide age, sex, conditions, and location to find studies with matching eligibility criteria, contacts, and recruiting locations.
ResourceDescription
`clinicaltrials://{nctId}`Fetch a single clinical trial study by NCT ID. Protocol JSON with capped locations/outcomes/references and results replaced by counts; omissions reported with the tool that retrieves them.
PromptDescription
`analyze_trial_landscape`Adaptable workflow for data-driven trial landscape analysis using count + search tools.

Tools

`clinicaltrials_search_studies`

Primary search tool with full ClinicalTrials.gov query capabilities.

  • Full-text and field-specific queries (condition, intervention, sponsor, location, title, outcome)
  • Status and phase filters with typed enum values
  • Geographic proximity filtering by coordinates and distance
  • Advanced AREA[] Essie expression support for complex queries
  • Compact index results by default; pass `fields` for a full-fidelity projection of specific leaves (a full single record is ~70KB — fetch one with `get_study_record`)
  • Pagination with cursor tokens, sorting by any field

`clinicaltrials_get_study_results`

Fetch posted results data for completed studies.

  • Outcome measures with statistics, adverse events, participant flow, baseline characteristics
  • Section-level filtering (request only the data you need)
  • Optional summary mode condenses full results (~200KB) to essential metadata (~5KB per study)
  • Batch multiple NCT IDs per call with partial-success reporting
  • Separate tracking of studies without results and fetch errors

`clinicaltrials_find_eligible`

Match a patient profile to eligible recruiting trials.

  • Takes age, sex, conditions, and location as patient demographics
  • Builds optimized API queries with demographic filters (age range, sex, healthy volunteers)
  • Re-ranks results so studies whose own condition matches a requested condition surface above tangential matches from the upstream fuzzy condition search
  • Returns studies with eligibility and location fields for the caller to evaluate
  • Bounds each candidate to the sites matching the requested location (capped by `locationLimit`) rather than every site the study registers worldwide, adds the nearest recruiting site when none of the matched ones is open, and discloses what was omitted
  • Provides actionable hints when no studies match (broaden conditions, adjust filters)

Features

Built on `@cyanheads/mcp-ts-core`:

  • Declarative tool/resource/prompt definitions with Zod schemas and format functions
  • Unified error handling — handlers throw, framework catches and classifies
  • Dual transport: stdio and Streamable HTTP from the same codebase
  • Pluggable auth (`none`, `jwt`, `oauth`) for HTTP transport
  • Structured logging with optional OpenTelemetry tracing

ClinicalTrials.gov-specific:

  • Type-safe client for the ClinicalTrials.gov REST API v2
  • Public API — no authentication or API keys required
  • Retry with exponential backoff (3 attempts) and rate limiting (~1 req/sec)
  • HTML error detection and structured error factories

Getting Started

Public Hosted Instance

A public instance is available at `https://clinicaltrials.caseyjhand.com/mcp` — no installation required. Point any MCP client at it via Streamable HTTP:

json
{
  "mcpServers": {
    "clinicaltrialsgov-mcp-server": {
      "type": "streamable-http",
      "url": "https://clinicaltrials.caseyjhand.com/mcp"
    }
  }
}

Self-Hosted / Local

Add to your MCP client config (e.g., `claude_desktop_config.json`):

json
{
  "mcpServers": {
    "clinicaltrialsgov-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["clinicaltrialsgov-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio"
      }
    }
  }
}

Or for Streamable HTTP:

sh
MCP_TRANSPORT_TYPE=http
MCP_HTTP_PORT=3010

Prerequisites

Installation

1. Clone the repository:

sh
git clone https://github.com/cyanheads/clinicaltrialsgov-mcp-server.git

2. Navigate into the directory:

sh
cd clinicaltrialsgov-mcp-server

3. Install dependencies:

sh
bun install

Configuration

All configuration is optional — the server works with defaults and no API keys.

VariableDescriptionDefault
`CT_API_BASE_URL`ClinicalTrials.gov API base URL.`https://clinicaltrials.gov/api/v2`
`CT_REQUEST_TIMEOUT_MS`Per-request timeout in milliseconds.`30000`
`CT_MAX_PAGE_SIZE`Maximum page size cap.`200`
`MCP_TRANSPORT_TYPE`Transport: `stdio` or `http`.`stdio`
`MCP_HTTP_PORT`Port for HTTP server.`3010`
`MCP_AUTH_MODE`Auth mode: `none`, `jwt`, or `oauth`.`none`
`MCP_LOG_LEVEL`Log level (RFC 5424).`info`
`LOGS_DIR`Directory for log files (Node.js only).`/logs`
`OTEL_ENABLED`Enable OpenTelemetry tracing.`false`

Running the Server

Local Development

  • Build and run the production version:
sh
bun run build
  bun run start:http   # or start:stdio
  • Run checks and tests:
sh
bun run devcheck     # Lints, formats, type-checks
  bun run test         # Runs test suite

Docker

sh
docker build -t clinicaltrialsgov-mcp-server .
docker run -p 3010:3010 clinicaltrialsgov-mcp-server

Project Structure

DirectoryPurpose
`src/mcp-server/tools/`Tool definitions (`*.tool.ts`).
`src/mcp-server/resources/`Resource definitions (`*.resource.ts`).
`src/mcp-server/prompts/`Prompt definitions (`*.prompt.ts`).
`src/services/clinical-trials/`ClinicalTrials.gov API client and types.
`src/config/`Environment variable parsing and validation with Zod.
`tests/`Unit and integration tests.

Development Guide

See `CLAUDE.md` for development guidelines and architectural rules. The short version:

  • Handlers throw, framework catches — no `try/catch` in tool logic
  • Use `ctx.log` for request-scoped logging, no `console` calls
  • Register new tools and resources in the `index.ts` barrel files

Contributing

Issues and pull requests are welcome. Run checks before submitting:

sh
bun run devcheck
bun run test

License

Apache-2.0 — see LICENSE for details.

Frequently asked questions

What is clinicaltrialsgov-mcp-server?

clinicaltrialsgov-mcp-server is A Model Context Protocol (MCP) Server providing LLM tools for the official ClinicalTrials.gov REST API. Search and retrieve clinical trial data, including study details and more

How do I install clinicaltrialsgov-mcp-server?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is clinicaltrialsgov-mcp-server open source?

Yes — it is hosted on GitHub at https://github.com/cyanheads/clinicaltrialsgov-mcp-server and has 30 stars.

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