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
Public Hosted Server: https://clinicaltrials.caseyjhand.com/mcp
</div>Overview
Seven tools for searching, discovering, analyzing, and matching clinical trials:
| Tool Name | Description |
|---|---|
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. Tool equivalent of the clinicaltrials://{nctId} resource. |
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. |
clinicaltrials_find_eligible | Match patient demographics and conditions to eligible recruiting trials. Builds optimized queries from a patient profile and returns studies with eligibility/location fields. |
| Resource | Description |
|---|---|
clinicaltrials://{nctId} | Fetch a single clinical study by NCT ID. Full JSON. |
| Prompt | Description |
|---|---|
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
- 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:
{
"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):
{
"mcpServers": {
"clinicaltrialsgov-mcp-server": {
"type": "stdio",
"command": "bunx",
"args": ["clinicaltrialsgov-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio"
}
}
}
}
Or for Streamable HTTP:
MCP_TRANSPORT_TYPE=http
MCP_HTTP_PORT=3010
Prerequisites
- Bun v1.2.0 or higher (or Node.js >= 22.0.0)
Installation
-
Clone the repository:
shgit clone https://github.com/cyanheads/clinicaltrialsgov-mcp-server.git -
Navigate into the directory:
shcd clinicaltrialsgov-mcp-server -
Install dependencies:
shbun install
Configuration
All configuration is optional — the server works with defaults and no API keys.
| Variable | Description | Default |
|---|---|---|
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). | <project-root>/logs |
OTEL_ENABLED | Enable OpenTelemetry tracing. | false |
Running the Server
Local Development
-
Build and run the production version:
shbun run build bun run start:http # or start:stdio -
Run in dev mode (with watch):
shbun run dev:http # or dev:stdio -
Run checks and tests:
shbun run devcheck # Lints, formats, type-checks bun run test # Runs test suite
Docker
docker build -t clinicaltrialsgov-mcp-server .
docker run -p 3010:3010 clinicaltrialsgov-mcp-server
Project Structure
| Directory | Purpose |
|---|---|
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/catchin tool logic - Use
ctx.logfor request-scoped logging, noconsolecalls - Register new tools and resources in the
index.tsbarrel files
Contributing
Issues and pull requests are welcome. Run checks before submitting:
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
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。
Slack动图
by anthropics
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。
MCP服务构建器
by alirezarezvani
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。
相关 MCP Server
Slack 消息
编辑精选by Anthropic
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。
by netdata
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。
by d4vinci
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。