io.github.cyanheads/clinicaltrialsgov-mcp-server

平台与服务

by cyanheads

提供丰富工具,可从 ClinicalTrials.gov API v2 搜索、获取并分析临床试验数据,便于研究与数据探索。

什么是 io.github.cyanheads/clinicaltrialsgov-mcp-server

提供丰富工具,可从 ClinicalTrials.gov API v2 搜索、获取并分析临床试验数据,便于研究与数据探索。

README

<div align="center"> <h1>clinicaltrialsgov-mcp-server</h1> <p> <b>MCP server for the ClinicalTrials.gov v2 API. Search trials, retrieve study details and results, and match patients to eligible trials.</b> </p> <p><b>7 Tools · 1 Resource · 1 Prompt</b></p> </div> <div align="center">

npm Docker Version Framework

MCP SDK License TypeScript

</div> <div align="center">

Public Hosted Server: https://clinicaltrials.caseyjhand.com/mcp

</div>

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. Tool equivalent of the clinicaltrials://{nctId} resource.
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. Builds optimized queries from a patient profile and returns studies with eligibility/location fields.
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:

  • 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_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).<project-root>/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 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.

常见问题

io.github.cyanheads/clinicaltrialsgov-mcp-server 是什么?

提供丰富工具,可从 ClinicalTrials.gov API v2 搜索、获取并分析临床试验数据,便于研究与数据探索。

相关 Skills

MCP构建

by anthropics

Universal
热门

聚焦高质量 MCP Server 开发,覆盖协议研究、工具设计、错误处理与传输选型,适合用 FastMCP 或 MCP SDK 对接外部 API、封装服务能力。

想让 LLM 稳定调用外部 API,就用 MCP构建:从 Python 到 Node 都有成熟指引,帮你更快做出高质量 MCP 服务器。

平台与服务
未扫描111.1k

Slack动图

by anthropics

Universal
热门

面向Slack的动图制作Skill,内置emoji/消息GIF的尺寸、帧率和色彩约束、校验与优化流程,适合把创意或上传图片快速做成可直接发送的Slack动画。

帮你快速做出适配 Slack 的动图,内置约束规则和校验工具,少踩上传与播放坑,做表情包和演示都更省心。

平台与服务
未扫描111.1k

MCP服务构建器

by alirezarezvani

Universal
热门

从 OpenAPI 一键生成 Python/TypeScript MCP server 脚手架,并校验 tool schema、命名规范与版本兼容性,适合把现有 REST API 快速发布成可生产演进的 MCP 服务。

帮你快速搭建 MCP 服务与后端 API,脚手架完善、扩展顺手,尤其适合想高效验证服务能力的开发者。

平台与服务
未扫描9.6k

相关 MCP Server

Slack 消息

编辑精选

by Anthropic

热门

Slack 是让 AI 助手直接读写你的 Slack 频道和消息的 MCP 服务器。

这个服务器解决了团队协作中需要 AI 实时获取 Slack 信息的痛点,特别适合开发团队让 Claude 帮忙汇总频道讨论或发送通知。不过,它目前只是参考实现,文档有限,不建议在生产环境直接使用——更适合开发者学习 MCP 如何集成第三方服务。

平台与服务
83.0k

by netdata

热门

io.github.netdata/mcp-server 是让 AI 助手实时监控服务器指标和日志的 MCP 服务器。

这个工具解决了运维人员需要手动检查系统状态的痛点,最适合 DevOps 团队让 Claude 自动分析性能数据。不过,它依赖 NetData 的现有部署,如果你没用过这个监控平台,得先花时间配置。

平台与服务
78.3k

by d4vinci

热门

Scrapling MCP Server 是专为现代网页设计的智能爬虫工具,支持绕过 Cloudflare 等反爬机制。

这个工具解决了爬取动态网页和反爬网站时的头疼问题,特别适合需要批量采集电商价格或新闻数据的开发者。不过,它依赖外部浏览器引擎,资源消耗较大,不适合轻量级任务。

平台与服务
34.8k

评论