Mcp Clinical Reasoner

io.github.pcmedsinge由 GitHub 账号 pcmedsinge 发布v1.0.0更新于 Oct 24, 2026

Drug interactions (FDA), dose range check, allergy cross-reactivity. No PHI processed.

发布方自己的服务：[PREPROD] Clinical.ly Research Suite

已验证STDIO仅桌面知识与记忆 AI 与机器学习

服务详情

标识符: io.github.pcmedsinge/mcp-clinical-reasoner
传输: STDIO
运行时: Desktop only
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 pcmedsinge。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.pcmedsinge%2Fmcp-clinical-reasoner.svg)](https://sourceweft.com/mcp/io.github.pcmedsinge%2Fmcp-clinical-reasoner?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

本地 MCP 服务器，为助手提供四项临床药理工具：药品查询、药物相互作用检查、剂量范围检查与过敏交叉反应检查。

可以做什么: 按药品名称或 RxNorm CUI 查询药品，经 NLM RxNav API 返回规范名称、RxCUI、药物类别与剂量参考，并自动解析品牌别名（如 Tylenol 对应 acetaminophen）。通过同一 API 检查 2 至 10 个 RxNorm CUI 之间的药物相互作用，并按严重程度排序。依据内置约 20 种常用药品的剂量表，校验拟用的单次剂量（毫克）。依据内置的 12 个过敏原类别（如青霉素、磺胺类、NSAID）检查过敏交叉反应。
适用场景: 适合研究、教学或原型开发场景，让助手快速参考药品名称、相互作用、成人剂量范围或过敏交叉反应。不能替代临床判断、药师审核或专业医疗建议。
运行要求: 作为本地 Python 进程运行，通过 uv 从 PyPI 包安装；默认使用 stdio 传输，也可选用 8002 端口的 SSE 模式。药品查询与相互作用检查需要访问 RxNav REST API 的网络连接，无需 API 密钥。可选环境变量用于配置 RxNav 基础地址与超时、传输方式、主机、端口、日志级别以及 LangFuse 追踪密钥。

安装前请注意

剂量上限与交叉反应规则来自一般成人参考资料，须针对每位患者个体化调整；README 声明该服务器仅供研究与教学用途，不能替代临床判断或药师审核。药品查询与相互作用请求会发送至第三方 NLM RxNav API。若通过 LANGFUSE_PUBLIC_KEY 与 LANGFUSE_SECRET_KEY 启用 LangFuse 追踪，工具调用会被记录延迟与响应大小。README 声明不处理 PHI。

安装

在 SourceWeft 中

打开控制台中的 Mcp Clinical Reasoner，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照仓库中的启动说明。

README

mcp-clinical-reasoner

Part of fhir-mcp-suite — v1.0.0

An MCP server providing four clinical pharmacology tools backed by the free NLM RxNav REST API and a built-in rule-based reference table. No API key required. No PHI processed.

[License]

Tools

Tool	Transport	Description
`lookup_drug`	RxNav API	Resolve drug name or RxNorm CUI → canonical name, RxCUI, drug-class membership, dose reference
`check_drug_interactions`	RxNav API	Detect drug-drug interactions (DDIs) for 2–10 RxNorm CUIs, sorted by severity
`check_dose`	Rule-based	Validate a proposed single dose (mg) against a built-in table of ~20 common drugs
`check_allergy_conflicts`	Rule-based	Cross-reactivity check against 12 allergen classes using built-in table

Architecture

Claude Desktop / LangGraph agent          │  MCP (stdio or SSE)          ▼ mcp-clinical-reasoner  (:8002 in SSE mode)    ├── lookup_drug ────────────────► rxnav.nlm.nih.gov/REST    ├── check_drug_interactions ────► rxnav.nlm.nih.gov/REST    ├── check_dose ─────────────────► built-in DOSE_TABLE (20 drugs)    └── check_allergy_conflicts ────► built-in ALLERGEN_CLASSES (12 classes)

Claude Desktop / LangGraph agent          │  MCP (stdio or SSE)          ▼ mcp-clinical-reasoner  (:8002 in SSE mode)    ├── lookup_drug ────────────────► rxnav.nlm.nih.gov/REST    ├── check_drug_interactions ────► rxnav.nlm.nih.gov/REST    ├── check_dose ─────────────────► built-in DOSE_TABLE (20 drugs)    └── check_allergy_conflicts ────► built-in ALLERGEN_CLASSES (12 classes)

All tool calls traced via LangFuse (session-scoped, latency + response bytes).

Built-in Dose Table

Covers 20 common drugs: acetaminophen, ibuprofen, aspirin, naproxen, metformin, lisinopril, atorvastatin, metoprolol, amlodipine, omeprazole, amoxicillin, azithromycin, warfarin, furosemide, sertraline, gabapentin, clopidogrel, hydrochlorothiazide, prednisone, albuterol.

Brand aliases are resolved automatically (e.g. "Tylenol" → acetaminophen, "Advil" → ibuprofen).

Built-in Allergen Classes

12 classes: penicillin, cephalosporin, sulfonamide, nsaid, macrolide, fluoroquinolone, statin, ace_inhibitor, angiotensin_receptor_blocker, beta_blocker, thiazide_diuretic, tetracycline.

Quick start

bash

# Install (uv workspace from repo root)uv sync --all-packages
# Run (stdio, default)uv run mcp-clinical-reasoner
# Run (SSE on port 8002)MCP_TRANSPORT=sse uv run mcp-clinical-reasoner

# Install (uv workspace from repo root)uv sync --all-packages
# Run (stdio, default)uv run mcp-clinical-reasoner
# Run (SSE on port 8002)MCP_TRANSPORT=sse uv run mcp-clinical-reasoner

Environment variables

Variable	Default	Description
`RXNAV_BASE_URL`	`https://rxnav.nlm.nih.gov/REST`	RxNav API base URL
`RXNAV_TIMEOUT_S`	`30.0`	HTTP timeout (seconds)
`MCP_TRANSPORT`	`stdio`	`stdio` or `sse`
`MCP_HOST`	`0.0.0.0`	SSE bind host
`MCP_PORT`	`8002`	SSE port
`LANGFUSE_PUBLIC_KEY`	(optional)	LangFuse tracing
`LANGFUSE_SECRET_KEY`	(optional)	LangFuse tracing
`LANGFUSE_HOST`	(optional)	LangFuse host
`LOG_LEVEL`	`INFO`	Logging level

Claude Desktop configuration

json

{  "mcpServers": {    "clinical-reasoner": {      "command": "uv",      "args": [        "--directory", "/path/to/fhir-mcp-suite",        "run", "--package", "mcp-clinical-reasoner",        "mcp-clinical-reasoner"      ]    }  }}

{  "mcpServers": {    "clinical-reasoner": {      "command": "uv",      "args": [        "--directory", "/path/to/fhir-mcp-suite",        "run", "--package", "mcp-clinical-reasoner",        "mcp-clinical-reasoner"      ]    }  }}

Tests

bash

# Unit tests (36 tests, no network required)uv run pytest packages/mcp-clinical-reasoner/tests/ -v -m "not integration and not eval"
# Offline eval (dose + allergy + error validation)uv run python evals/mcp-clinical-reasoner/run_eval.py --tags dose allergy error
# Full eval suite (requires rxnav.nlm.nih.gov)uv run python evals/mcp-clinical-reasoner/run_eval.py

# Unit tests (36 tests, no network required)uv run pytest packages/mcp-clinical-reasoner/tests/ -v -m "not integration and not eval"
# Offline eval (dose + allergy + error validation)uv run python evals/mcp-clinical-reasoner/run_eval.py --tags dose allergy error
# Full eval suite (requires rxnav.nlm.nih.gov)uv run python evals/mcp-clinical-reasoner/run_eval.py

Eval results (offline, no network)

Disclaimer

This server is for research and educational purposes only. It does not replace clinical judgement, pharmacist review, or professional medical advice. All dose limits and cross-reactivity rules are from general adult references and must be individualised for each patient.