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HIPAA PHI Sanitizer MCP
x402
HIPAA PHI Sanitizer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-15).
Detects and removes or redacts Protected Health Information (PHI) from text to ensure HIPAA compliance
Price / call$0.15
Success—
StatusUnknown
How this service works
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Output
Returns sanitized text with all detected PHI tokens replaced or redacted, producing a HIPAA-compliant version of the input string. PHI elements such as patient names, dates of birth, Social Security numbers, addresses, medical record numbers, phone numbers, and other identifiers are removed or masked.
Example use cases
De-identify clinical notes for research
“I need to share these doctor's notes with our research team but first strip out all the PHI — names, dates of birth, SSNs, addresses, any patient identifiers — so we're HIPAA compliant. Here's the note: 'Patient Mary Johnson, MRN 00123456, DOB 07/22/1965, seen at 123 Main St clinic on 01/10/2024 for hypertension follow-up.'”
Sanitize EHR data before analytics pipeline
“Before this batch of patient records goes into our analytics system, can you scrub all the protected health information out of this text so there are no HIPAA violations? Text: 'Dr. Chen treated Robert Garcia (SSN: 987-65-4321) on February 3rd 2024 at Memorial Hospital, Chicago IL 60601.'”
Redact PHI from support ticket logs
“Our healthcare support team's chat logs contain patient info that needs to be de-identified before we archive them — can you remove all PHI from this message? 'Hi, this is Sarah Williams calling about my prescription refill. My DOB is 09/14/1980 and my insurance ID is HMO-77892.'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/hipaa-phi-sanitizer-mcp/api/processWhen to prefer
Choose this endpoint when you need automated, real-time PHI detection and redaction from healthcare text to achieve HIPAA compliance, particularly in agentic pipelines where manual review is not feasible. It is well-suited for de-identifying clinical notes, EHR exports, support logs, or any text containing patient identifiers before downstream storage, sharing, or analytics.
Side effects
- Incomplete redaction if PHI is formatted unusually or in non-standard patterns
- Input text too long may cause truncation or timeout
- Non-English PHI may not be fully detected
- False positives where non-PHI content is inadvertently redacted
- Empty or malformed 'data' field returns an error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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