PII Detector — Find Emails, SSNs, Credit Cards in Text
MCP ServerFreePII (Personally Identifiable Information) detection API for AI agents. Scan any text for sensitive data: email addresses, phone numbers, SSNs, credit card numbers, IP addresses, physical addresses, and names. Risk scoring and redaction-ready output. Tools: compliance_detect_pii. Use this BEFORE lo
Capabilities3 decomposed
sensitive data detection in text
Medium confidenceThis capability scans input text for various types of Personally Identifiable Information (PII) such as email addresses, social security numbers, credit card numbers, and more. It employs regex-based pattern matching combined with machine learning techniques to identify and classify sensitive data accurately. The architecture allows for quick updates to detection patterns without requiring a full redeployment, making it adaptable to new PII types as regulations evolve.
Utilizes a combination of regex and machine learning for dynamic PII detection, allowing for real-time updates to detection patterns without full redeployment.
More adaptable than static regex-based solutions, as it can quickly integrate new detection patterns based on evolving compliance needs.
risk scoring for detected pii
Medium confidenceThis capability assigns a risk level to each detected instance of PII based on predefined criteria and contextual analysis. It uses a scoring algorithm that evaluates the severity of exposure and potential impact on privacy. The scoring system is designed to provide developers with actionable insights, allowing them to prioritize which PII to address first based on risk.
Features a customizable risk scoring algorithm that adapts to different compliance requirements and organizational policies, unlike static scoring systems.
Offers a more nuanced risk assessment compared to basic PII detection tools that lack contextual scoring.
redaction-ready output generation
Medium confidenceThis capability generates output that is ready for redaction, ensuring that any detected PII is masked or removed from the text. The system provides a structured output format that includes both the original text and the redacted version, facilitating easy integration into workflows that require data sanitization. This approach allows developers to implement redaction seamlessly into their applications.
Generates a structured output that includes both original and redacted text, enabling easy integration into existing workflows for data sanitization.
More efficient than manual redaction processes, as it automates the generation of redacted outputs with minimal developer intervention.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓compliance officers ensuring data privacy
- ✓developers building applications that handle personal data
- ✓data protection officers assessing data risks
- ✓developers implementing data sanitization processes
- ✓developers implementing data protection features
- ✓compliance teams ensuring data is sanitized before use
Known Limitations
- ⚠May not detect all variations of PII due to regex limitations
- ⚠Performance may degrade with extremely large text inputs
- ⚠Risk scoring is based on predefined criteria and may not account for all contextual factors
- ⚠Requires careful tuning of risk parameters for accurate scoring
- ⚠Redaction may not be reversible; original data must be stored securely elsewhere
- ⚠Performance may vary with the complexity of the text
Requirements
Input / Output
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Repository Details
About
PII (Personally Identifiable Information) detection API for AI agents. Scan any text for sensitive data: email addresses, phone numbers, SSNs, credit card numbers, IP addresses, physical addresses, and names. Risk scoring and redaction-ready output. Tools: compliance_detect_pii. Use this BEFORE logging, storing, or transmitting text that might contain personal data. Essential for GDPR/CCPA compliance, data sanitization, and privacy-by-design. IMPORTANT: For website GDPR compliance, use compliance_scan_gdpr. Returns: {piiFound[], riskLevel, redacted}. No API key required — x402 micropayment $0.005/call on Base L2.
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