About mcp-clinical-reasoner
mcp-clinical-reasoner is an MCP server for clinical pharmacology checks, intended for research and educational use. It combines RxNav lookups with built-in dose and allergy reference tables, and does not process PHI.
Key features
- 01Resolve drug names and RxNorm CUIs
- 02Check interactions across 2–10 drugs
- 03Validate doses for 20 common drugs
- 04Check cross-reactivity across 12 allergen classes
- 05Trace tool calls with LangFuse
Use cases
- 01Reviewing possible drug-drug interactions
- 02Checking a proposed dose against reference ranges
- 03Screening medication choices for allergy conflicts
MCP support
It exposes four clinical pharmacology tools to MCP clients over stdio or SSE. Two use the NLM RxNav REST API, while dose and allergy checks use built-in rule tables.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-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.
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)
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
# 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
{
"mcpServers": {
"clinical-reasoner": {
"command": "uv",
"args": [
"--directory", "/path/to/fhir-mcp-suite",
"run", "--package", "mcp-clinical-reasoner",
"mcp-clinical-reasoner"
]
}
}
}
Tests
# 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)
| Tag set | Cases | Pass rate |
|---|---|---|
| error | 6 | 100% |
| dose + allergy | 12 | 100% |
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.
License
Apache-2.0 — see LICENSE.
Comments
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