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Built with ❤️ by Krishna Goyal

    Clinicaltrialsgov Mcp Server

    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
    TypeScript
    Updated Oct 18, 2025
    bioinformatics
    clinicaltrials
    healthcare
    mcp
    mcp-server

    Table of Contents

    • Overview
    • Tools
    • clinicaltrials_search_studies
    • clinicaltrials_get_study_results
    • clinicaltrials_find_eligible
    • Features
    • Getting Started
    • Public Hosted Instance
    • Self-Hosted / Local
    • Prerequisites
    • Installation
    • Configuration
    • Running the Server
    • Local Development
    • Docker
    • Project Structure
    • Development Guide
    • Contributing
    • License

    Table of Contents

    • Overview
    • Tools
    • clinicaltrials_search_studies
    • clinicaltrials_get_study_results
    • clinicaltrials_find_eligible
    • Features
    • Getting Started
    • Public Hosted Instance
    • Self-Hosted / Local
    • Prerequisites
    • Installation
    • Configuration
    • Running the Server
    • Local Development
    • Docker
    • Project Structure
    • Development Guide
    • Contributing
    • License

    Documentation

    ---

    Overview

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

    Tool NameDescription
    clinicaltrials_search_studiesSearch studies with full-text queries, filters, pagination, sorting, and field selection.
    clinicaltrials_get_study_recordFetch a single study by NCT ID. Returns the full record: protocol, eligibility, outcomes, arms, interventions, contacts, and locations.
    clinicaltrials_get_study_countGet total study count for a query without fetching data. Fast statistics and breakdowns.
    clinicaltrials_get_field_valuesDiscover valid values for API fields (status, phase, study type, etc.) with per-value counts.
    clinicaltrials_get_field_definitionsBrowse the study data model field tree — piece names, types, nesting. Supports subtree navigation and keyword search.
    clinicaltrials_get_study_resultsExtract outcomes, adverse events, participant flow, and baseline from completed studies. Optional summary mode reduces ~200KB payloads to ~5KB.
    clinicaltrials_find_eligibleMatch 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 study by NCT ID. Full JSON.
    PromptDescription
    analyze_trial_landscapeAdaptable 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
    • Field selection to reduce payload size (full records are ~70KB each)
    • 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)
    • Returns studies with eligibility and location fields for the caller to evaluate
    • Provides actionable hints when no studies match (broaden conditions, adjust filters)

    Features

    Built on [@cyanheads/mcp-ts-core](https://github.com/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

    • Bun v1.2.0 or higher (or Node.js >= 22.0.0)

    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_URLClinicalTrials.gov API base URL.https://clinicaltrials.gov/api/v2
    CT_REQUEST_TIMEOUT_MSPer-request timeout in milliseconds.30000
    CT_MAX_PAGE_SIZEMaximum page size cap.200
    MCP_TRANSPORT_TYPETransport: stdio or http.stdio
    MCP_HTTP_PORTPort for HTTP server.3010
    MCP_AUTH_MODEAuth mode: none, jwt, or oauth.none
    MCP_LOG_LEVELLog level (RFC 5424).info
    LOGS_DIRDirectory for log files (Node.js only)./logs
    OTEL_ENABLEDEnable 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 in dev mode (with watch):
    sh
    bun run dev:http     # or dev: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](./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.

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