Healthcare & HIPAA Compliance MCP Server

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AI agents for healthcare compliance — FDA regulatory data for medical device due diligence, adverse event monitoring, and HIPAA compliance workflows.

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Quick Start

Add to your MCP client:

{
  "mcpServers": {
    "healthcare-compliance-mcp": {
      "url": "https://red-cars--healthcare-compliance-mcp.apify.actor/mcp"
    }
  }
}

AI agents can now search medical device compliance data, screen devices for FDA approval status, and generate due diligence reports.

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What healthcare compliance data can you access?

Data Type	Source	Example
Adverse Event Reports	FDA MAUDE	Device malfunctions, injuries, deaths
510(k) Clearances	FDA	Premarket notification clearances
Device Recalls	FDA Enforcement	Class I/II/III recall notices
Clinical Trials	ClinicalTrials.gov	Trial phases, recruitment status

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Why use Healthcare Compliance MCP?

The problem: Medical device compliance research — FDA approvals, adverse events, recalls, clinical trials — requires searching multiple government databases and synthesizing findings into actionable intelligence. For HIPAA compliance officers and healthcare AI agents, this data is essential for vendor risk assessments, device vetting, and regulatory due diligence. Manual research takes hours across disconnected FDA and ClinicalTrials.gov systems.

The solution: AI agents use Healthcare Compliance MCP to get instant, structured compliance intelligence on any medical device or manufacturer — the FDA data layer for HIPAA compliance workflows.

Key benefits:

• FDA MAUDE search — Search adverse event reports across all medical device categories
• 510(k) clearance lookup — Verify premarket notification status for any device
• Recall tracking — Monitor Class I/II/III recalls by manufacturer or product code
• Clinical trial intelligence — Research trial phases, recruitment status, and completion dates
• Compliance scoring — Composite risk scores combining adverse events, recalls, and enforcement
• Parallel data fetching — All FDA sources queried simultaneously for fast responses

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Features

Comprehensive FDA Coverage Access all major FDA medical device databases: MAUDE adverse events, 510(k) premarket clearances, and enforcement reports.

Clinical Trial Intelligence Search ClinicalTrials.gov for trial phases, recruitment status, intervention types, and sponsor information.

Compliance Risk Scoring Composite scores (0-100) combining adverse event rates, recall history, and enforcement actions with risk level assignments (LOW/MEDIUM/HIGH/CRITICAL).

Manufacturer Quality Assessment Multi-source quality assessment scoring across all device categories for a given manufacturer.

Full Compliance Reports Generate comprehensive compliance intelligence reports combining all data sources.

Parallel API Execution All FDA and ClinicalTrials.gov sources fetched simultaneously using Promise.all() for fast tool responses.

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How It Compares to FDA API Access

Aspect	Our MCP	Direct FDA API Access
Price	$0.03-$0.15/call	Free (but requires approval)
Setup time	5 minutes	Days to weeks (registration, approval, documentation)
API access	MCP (AI-native)	REST (multiple endpoints)
Tool coverage	8 tools (MAUDE, 510k, recalls, trials, compliance reports)	Manual multi-step queries
Documentation	Structured, AI-friendly	Dense government docs

Why choose our MCP:

• MCP protocol is designed for AI agent integration - call compliance tools with natural language
• Composite tools (screen_device_compliance, assess_manufacturer_quality, generate_compliance_report) combine multiple FDA sources into one call
• Compliance scoring already calculated - raw FDA data requires manual risk assessment
• No FDA API approval required - works immediately
• Parallel data fetching across all FDA sources

FDA API alternative: https://open.fda.gov/

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Use cases for healthcare compliance

Medical Device Buyer Research

Persona: Healthcare procurement specialist using AI to evaluate vendor risk

AI agent: "Screen the 'Acuson ultrasound system' from Siemens for compliance risk"
MCP call: screen_device_compliance({ device_name: "Acuson", manufacturer: "Siemens" })
Returns: compliance_score, risk_level, adverse_event_count, recall_count, 510k_status

Clinical Trial Landscape Analysis

Persona: Biotech investor researching GLP-1 agonist trial landscape

AI agent: "Find all Phase 3 trials for GLP-1 agonists recruiting in 2026"
MCP call: search_clinical_trials({ condition: "GLP-1", phase: "PHASE3", status: "RECRUITING" })
Returns: trials with nct_id, title, sponsor, enrollment, start/completion dates

Manufacturer Due Diligence

Persona: VC analyst conducting due diligence on medical device startup

AI agent: "Assess Medtronic's quality track record across all device categories"
MCP call: assess_manufacturer_quality({ manufacturer_name: "Medtronic" })
Returns: quality_score, adverse_event_rate, recall_count, device_categories, verdict

Regulatory Compliance Monitoring

Persona: HIPAA compliance officer conducting vendor risk assessments for healthcare AI

AI agent: "Generate compliance report for 'insulin pump' devices — needed for HIPAA security assessment"
MCP call: generate_compliance_report({ device_name: "insulin pump", include_clinical_trials: true })
Returns: executive_summary, sections for 510k/recalls/events/trials, data sources

510(k) Clearance Verification

Persona: FDA consultant verifying device clearance status

AI agent: "Check if Boston Scientific has 510(k) clearance for coronary stents"
MCP call: get_device_510k_clearance({ applicant: "Boston Scientific", device_name: "coronary stent" })
Returns: k_number, decision_date, product_code, clearance status

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How to connect Healthcare Compliance MCP Server to your AI client

Step 1: Get your Apify API token

Sign up at apify.com and copy your API token from the console.

Step 2: Add the MCP server to your client

Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "healthcare-compliance-mcp": {
      "url": "https://red-cars--healthcare-compliance-mcp.apify.actor/mcp"
    }
  }
}

Cursor/Windsurf: Add to MCP settings:

{
  "mcpServers": {
    "healthcare-compliance-mcp": {
      "url": "https://red-cars--healthcare-compliance-mcp.apify.actor/mcp"
    }
  }
}

Step 3: Start querying

AI agent: "Screen pacemaker compliance for Medtronic devices"

Step 4: Retrieve results

The MCP returns structured JSON with compliance scores, risk levels, and source data.

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MCP tools

Tool	Price	Description
search_device_events	$0.05	Search FDA MAUDE database for adverse event reports
get_device_510k_clearance	$0.03	Get 510(k) premarket clearance details
get_device_recalls	$0.05	Search FDA enforcement reports for recalls
search_clinical_trials	$0.05	Search ClinicalTrials.gov registry
get_trial_details	$0.03	Get detailed information for a specific trial
screen_device_compliance	$0.10	Composite compliance risk score for a device
assess_manufacturer_quality	$0.08	Multi-source quality assessment for manufacturer
generate_compliance_report	$0.15	Full compliance intelligence report

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Tool parameters

search_device_events

Parameter	Type	Required	Description
device_name	string	No	Device name (e.g., 'pacemaker')
manufacturer	string	No	Manufacturer name
product_code	string	No	FDA product code
date_from	string	No	Start date YYYYMMDD
date_to	string	No	End date YYYYMMDD
max_results	integer	No	Maximum results (default: 10)

When to call: Persona: HIPAA compliance officer or medical device buyer. Scenario: "I need to check if any adverse events were reported for pacemaker devices in the last 12 months."

Example AI prompt: "Search FDA MAUDE for adverse event reports on insertable cardiac pacemakers from Medtronic in 2025, limit to 20 results."

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get_device_510k_clearance

Parameter	Type	Required	Description
applicant	string	No	Applicant/manufacturer name
product_code	string	No	FDA product code
device_name	string	No	Device name
date_from	string	No	Start date YYYYMMDD
date_to	string	No	End date YYYYMMDD
max_results	integer	No	Maximum results (default: 10)

When to call: Persona: FDA consultant or medical device buyer. Scenario: "Verify if a specific device has 510(k) clearance before procurement."

Example AI prompt: "Check if Boston Scientific has 510(k) clearance for coronary stent systems, show the most recent clearances."

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get_device_recalls

Parameter	Type	Required	Description
recalling_firm	string	No	Recalling firm name
product_code	string	No	FDA product code
classification	string	No	Recall classification (Class I, II, III)
date_from	string	No	Start date YYYYMMDD
date_to	string	No	End date YYYYMMDD
max_results	integer	No	Maximum results (default: 10)

When to call: Persona: Healthcare procurement specialist or compliance officer. Scenario: "Check for active Class I or II recalls on insulin pump devices before vendor contract renewal."

Example AI prompt: "Find all FDA Class I and II recalls for insulin pump devices in the last 3 years, show the most recent first."

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search_clinical_trials

Parameter	Type	Required	Description
condition	string	No	Medical condition
intervention	string	No	Intervention name or type
sponsor	string	No	Sponsor name
phase	string	No	Trial phase (PHASE1, PHASE2, PHASE3, PHASE4)
status	string	No	Trial status (RECRUITING, COMPLETED, etc.)
max_results	integer	No	Maximum results (default: 10)

When to call: Persona: Biotech investor or clinical operations analyst. Scenario: "Research the clinical trial landscape for a new therapeutic area to assess competitive landscape."

Example AI prompt: "Find all Phase 3 clinical trials for GLP-1 agonists that are currently recruiting, show sponsors and estimated completion dates."

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get_trial_details

Parameter	Type	Required	Description
nct_id	string	Yes	ClinicalTrials.gov NCT ID (e.g., 'NCT000001')

When to call: Persona: Clinical operations analyst or medical affairs team. Scenario: "Get detailed protocol and eligibility criteria for a specific trial identified in landscape research."

Example AI prompt: "Get full details for clinical trial NCT05712345 including enrollment criteria, primary endpoints, and investigator information."

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screen_device_compliance

Parameter	Type	Required	Description
device_name	string	Yes	Device name
manufacturer	string	No	Manufacturer name

When to call: Persona: Healthcare procurement specialist or VC analyst doing due diligence. Scenario: "Screen a medical device for compliance risk before a purchase decision or investment."

Example AI prompt: "Screen the compliance risk for Medtronic insulin pumps — check adverse events, recalls, and 510(k) status."

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assess_manufacturer_quality

Parameter	Type	Required	Description
manufacturer_name	string	Yes	Manufacturer name

When to call: Persona: Vendor risk manager or compliance officer. Scenario: "Assess overall quality track record of a device manufacturer across all their product lines."

Example AI prompt: "Assess Medtronic's quality track record across all medical device categories — show adverse event rates, recall history, and enforcement actions."

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generate_compliance_report

Parameter	Type	Required	Description
device_name	string	Yes	Device name
manufacturer	string	No	Manufacturer name
include_clinical_trials	boolean	No	Include clinical trial data (default: false)

When to call: Persona: HIPAA compliance officer or regulatory affairs specialist. Scenario: "Generate a comprehensive compliance report for HIPAA security risk assessment — requires full FDA regulatory intelligence."

Example AI prompt: "Generate a full compliance intelligence report for coronary stent devices including 510(k) status, recalls, adverse events, and any relevant clinical trials."

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Connection examples

cURL

curl -X POST "https://red-cars--healthcare-compliance-mcp.apify.actor/mcp" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "search_device_events",
    "params": { "device_name": "pacemaker", "max_results": 5 }
  }'

Node.js

const response = await fetch('https://red-cars--healthcare-compliance-mcp.apify.actor/mcp', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_APIFY_TOKEN',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    tool: 'screen_device_compliance',
    params: { device_name: 'insulin pump', manufacturer: 'Medtronic' }
  })
});
const data = await response.json();
console.log(data.result.compliance_score);

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Output example

{
  "status": "success",
  "result": {
    "device_name": "Insertable Cardiac Pacemaker",
    "manufacturer": "Medtronic",
    "compliance_score": 85,
    "risk_level": "LOW",
    "signals": {
      "adverse_event_rate": { "level": "LOW", "label": "Adverse events rate below average" },
      "recall_history": { "level": "NONE", "label": "No recalls" },
      "enforcement_actions": { "level": "NONE", "label": "No enforcement actions" }
    },
    "adverse_events_count": 127,
    "recall_count": 0,
    "510k_clearances": 12,
    "last_510k_date": "2024-01-15",
    "verdict": "Device has clean regulatory history with no recalls or major adverse events",
    "source": "FDA MAUDE + 510(k) + Enforcement"
  }
}

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Output fields

Field	Description
compliance_score	Composite score 0-100 based on adverse events, recalls, enforcement
risk_level	LOW (80+), MEDIUM (60-79), HIGH (40-59), CRITICAL (<40)
signals	Detailed signal breakdown for each risk factor
adverse_events_count	Total MAUDE adverse event reports for device
recall_count	Total FDA enforcement/recalactions for device/manufacturer
510k_clearances	Count of 510(k) premarket clearances
last_510k_date	Date of most recent 510(k) clearance
verdict	Human-readable compliance assessment
source	Data sources queried

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How much does it cost to run Healthcare Compliance MCP?

PPE (Pay-Per-Event) pricing — $0.03 to $0.15 per tool call.

Tool	Price
search_device_events	$0.05
get_device_510k_clearance	$0.03
get_device_recalls	$0.05
search_clinical_trials	$0.05
get_trial_details	$0.03
screen_device_compliance	$0.10
assess_manufacturer_quality	$0.08
generate_compliance_report	$0.15

No subscription. No monthly fee. Pay only when AI agents use the tools.

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How Healthcare Compliance MCP works

Phase 1: Request parsing

AI agent sends tool call via MCP protocol. Server parses tool name and parameters.

Phase 2: Parallel data fetching

For composite tools (screen_device_compliance, assess_manufacturer_quality, generate_compliance_report), all data sources are queried simultaneously:

• FDA MAUDE adverse events
• FDA 510(k) clearances
• FDA device enforcement reports
• ClinicalTrials.gov (if enabled)

Phase 3: Scoring and synthesis

Composite tools apply scoring algorithms:

• Adverse event rate scoring
• Recall history weighting
• Enforcement action detection
• Risk level classification

Phase 4: Response formatting

All results returned as structured JSON with compliance scores, risk levels, signals, and source attribution.

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Tips for best results

1. Use specific device names — More specific queries (e.g., "insertable cardiac pacemaker") return better results than generic ("pacemaker")

2. Include manufacturer when known — Combining device name + manufacturer improves accuracy for compliance screening

3. Filter by date for trending — Use date_from/date_to to track compliance over specific time periods

4. Use composite tools for due diligence — screen_device_compliance and assess_manufacturer_quality provide holistic risk views

5. Include clinical trials for device research — Setting include_clinical_trials: true adds trial intelligence to compliance reports

6. Check 510(k) status first — For new devices, verify 510(k) clearance before deeper compliance research

7. HIPAA compliance starts with FDA data — Device approval status, recall history, and adverse event rates are foundational inputs for HIPAA security risk assessments

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Combine with other Apify actors

For comprehensive healthcare AI and HIPAA compliance workflows:

• academic-research-mcp — Find papers, grants, and institutional research for medical device contexts
• patent-search-mcp — Find patent history for medical devices (prior art, blocking patents, FDA device patents)

HIPAA compliance note: This MCP provides FDA regulatory data (device approvals, adverse events, recalls). HIPAA compliance additionally requires assessing how organizations handle PHI — use this data as one input into broader HIPAA security risk assessments. No API key required — AI agents can call these tools directly.

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SEO Keywords

FDA MAUDE, 510(k) clearance, medical device compliance, FDA adverse event reports, ClinicalTrials.gov, HIPAA compliance, medical device due diligence, FDA recall search, device approval status, no API key needed, AI agent, MCP server, healthcare compliance automation, medical device screening, FDA enforcement reports.

License

Apache 2.0