OpenFDA MCP Server

sapientsai/openfda-mcp-server
1 starsMITCommunity

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

MCP server providing access to U.S. FDA public datasets including drugs, medical devices, adverse events, recalls, and more through standardized tools.

README.md

OpenFDA MCP Server

An MCP (Model Context Protocol) server that provides access to U.S. FDA public datasets including drugs, medical devices, adverse events, recalls, and more.

Features

  • 10 FDA Tools: Query drug and device databases through a standardized MCP interface
  • Drug Tools: Adverse events (FAERS), labels, NDC directory, recalls, Drugs@FDA, shortages
  • Device Tools: 510(k) clearances, classifications, adverse events (MDR), recalls
  • Individual Record Lookup: Retrieve specific reports by ID (safety report ID, set ID, MDR report number)
  • Advanced Filtering: Filter drug labels by boxed warnings, request specific label sections
  • Rate Limit Aware: Supports authenticated requests for higher rate limits (120k/hour vs 1k/hour)
  • TypeScript: Fully typed with Zod schema validation

Installation

# Install globally
npm install -g openfda-mcp-server

# Or use with npx
npx openfda-mcp-server

Configuration

Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "openfda": {
      "command": "npx",
      "args": ["-y", "openfda-mcp-server"],
      "env": {
        "OPENFDA_API_KEY": "your-api-key-optional"
      }
    }
  }
}

Environment Variables

| Variable | Description | Default | | ----------------- | ---------------------------------- | ------------------------- | | OPENFDA_API_KEY | FDA API key for higher rate limits | None (uses public limits) |

Get a free API key at: https://open.fda.gov/apis/authentication/

Available Tools

Drug Tools

| Tool | Description | | ---------------------------- | ------------------------------------------------------------------------------------------------------ | | search_drug_adverse_events | Search FAERS for drug safety reports. Retrieve specific report by safetyReportId. | | search_drug_labels | Search drug labeling/prescribing info. Get by setId, filter by hasBoxedWarning, select sections. | | search_drug_ndc | Search the National Drug Code directory | | search_drug_recalls | Search drug recall enforcement reports | | search_drugs_at_fda | Search approved drug applications | | search_drug_shortages | Search current and resolved drug shortages |

Device Tools

| Tool | Description | | ------------------------------- | ----------------------------------------------------------------------------- | | search_device_510k | Search 510(k) premarket notifications | | search_device_classifications | Search device classification database | | search_device_adverse_events | Search MDR adverse event reports. Retrieve specific report by reportNumber. | | search_device_recalls | Search device recall enforcement reports |

Tool Parameters

search_drug_labels

| Parameter | Type | Description | | ------------------ | -------- | ------------------------------------------------------------ | | setId | string | Retrieve a specific label by its unique set_id | | drugName | string | Drug brand or generic name | | indication | string | Medical indication or use case | | activeIngredient | string | Active ingredient/substance name | | route | string | Route of administration (e.g., 'oral', 'intravenous') | | hasBoxedWarning | boolean | Filter for drugs with boxed warnings (most serious warnings) | | sections | string[] | Specific label sections to return (see below) | | limit | number | Maximum results (1-100) | | skip | number | Number of results to skip for pagination |

Available sections: indications_and_usage, dosage_and_administration, contraindications, warnings, warnings_and_cautions, adverse_reactions, drug_interactions, clinical_pharmacology, mechanism_of_action, pharmacokinetics, overdosage, description, how_supplied, storage_and_handling, boxed_warning

search_drug_adverse_events

| Parameter | Type | Description | | ---------------- | ------- | -------------------------------------------------- | | safetyReportId | string | Retrieve a specific FAERS report by its 8-digit ID | | drugName | string | Drug or product name to search | | reaction | string | Adverse reaction (e.g., 'headache', 'nausea') | | manufacturer | string | Drug manufacturer name | | serious | boolean | Filter for serious adverse events only | | dateFrom | string | Start date (YYYY-MM-DD) | | dateTo | string | End date (YYYY-MM-DD) | | limit | number | Maximum results (1-100) | | skip | number | Number of results to skip for pagination |

search_device_adverse_events

| Parameter | Type | Description | | ------------------ | ------ | ----------------------------------------------- | | reportNumber | string | Retrieve a specific MDR report by report number | | deviceName | string | Device generic name | | brandName | string | Device brand name | | manufacturerName | string | Device manufacturer name | | eventType | string | Type: 'Injury', 'Malfunction', 'Death', 'Other' | | dateFrom | string | Start date (YYYY-MM-DD) | | dateTo | string | End date (YYYY-MM-DD) | | limit | number | Maximum results (1-100) | | skip | number | Number of results to skip for pagination |

Usage Examples

Search for drug adverse events

Find adverse events for aspirin in the last year that were serious

Get a specific adverse event report

Retrieve FAERS report with safety report ID 10003641

Search for drugs with boxed warnings

Find all drugs with boxed warnings related to cardiovascular risks

Get specific label sections

Get the boxed_warning and contraindications sections for warfarin

Search for drug recalls

Search for Class I drug recalls from Pfizer

Search for device clearances

Find 510(k) clearances for cardiac pacemakers

Get a specific device adverse event report

Retrieve MDR report number 2649622-2020-08294

Search for device adverse events

Search device adverse events for insulin pumps that resulted in injury

CLI Usage

# Start with stdio transport (default)
openfda-mcp-server

# Start with HTTP transport
openfda-mcp-server --transport http --port 3000

Docker

Quick Start

# Build and run with docker-compose
docker-compose up -d

# Or build manually
docker build -t openfda-mcp-server .
docker run -p 3000:3000 -e OPENFDA_API_KEY=your-key openfda-mcp-server

Docker Compose

services:
  openfda-mcp:
    image: openfda-mcp-server:latest
    ports:
      - "3000:3000"
    environment:
      - OPENFDA_API_KEY=${OPENFDA_API_KEY:-}

Environment Variables

Pass environment variables to the container:

docker run -p 3000:3000 \
  -e OPENFDA_API_KEY=your-api-key \
  -e DEBUG=openfda-mcp:* \
  openfda-mcp-server

Development

# Install dependencies
pnpm install

# Run in development mode
pnpm dev

# Test locally
pnpm serve:test

# Run full validation (format, lint, test, build)
pnpm validate

# Build for production
pnpm build

Programmatic Usage

import { createOpenFDAServer, handleSearchDrugAdverseEvents, handleSearchDrugLabels } from "openfda-mcp-server/lib"

// Create a custom server
const server = createOpenFDAServer({
  name: "my-fda-server",
  version: "1.0.0",
})

// Search for adverse events
const adverseEvents = await handleSearchDrugAdverseEvents({
  drugName: "aspirin",
  serious: true,
  limit: 10,
})

// Get a specific adverse event by ID
const specificReport = await handleSearchDrugAdverseEvents({
  safetyReportId: "10003641",
})

// Search for drugs with boxed warnings
const boxedWarningDrugs = await handleSearchDrugLabels({
  hasBoxedWarning: true,
  limit: 10,
})

// Get specific sections of a drug label
const warfarinLabel = await handleSearchDrugLabels({
  setId: "0cbce382-9c88-4f58-ae0f-532a841e8f95",
  sections: ["boxed_warning", "contraindications", "adverse_reactions"],
})

API Rate Limits

| Authentication | Per Minute | Per Hour | | --------------- | ---------- | -------- | | Without API Key | 40 | 1,000 | | With API Key | 240 | 120,000 |

License

MIT

Acknowledgments

---

Sponsored by <a href="https://sapientsai.com/"><img src="https://sapientsai.com/images/logo.svg" alt="SapientsAI" width="20" style="vertical-align: middle;"> SapientsAI</a> — Building agentic AI for businesses

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