Data Sanitizer for Privacy

Data Sanitizer for Privacy MCP Connector for Claude

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Redacts sensitive PII and PHI from text using deterministic patterns.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a specialized privacy enforcement layer for AI agents. It identifies and redacts sensitive information such as emails, phone numbers, SSNs, and credit card details using strict regex patterns. You can use sanitize_text to perform token-level or sentence-level redaction, ensuring your LLM inputs and outputs remain compliant with data protection standards. Use validate_entity_type to check supported categories or get_redaction_summary to view all available patterns.

piiredactioncompliancesecurityprivacy

3 tools expose this connector's capabilities to your AI agent.

sanitize_text

You can specify which entity types to look for and whether to redact the entire sentence containing the sensitive data. Redacts sensitive information from text based on specified entity types

validate_entity_type

g., "EMAIL") to check its validity. Checks if a specific entity type is supported by the sanitizer

get_redaction_summary

Provides an overview of the supported redaction patterns

See how to talk to your AI agent using Data Sanitizer for Privacy.

Sanitize this text: My email is john.doe@example.com and my phone is 555-0199.

My email is [EMAIL_REDACTED] and my phone is [PHONE_REDACTED].

Redact the SSN in this sentence: The user's SSN is 123-45-6789.

The user's SSN is [SSN_REDACTED].

Check if 'SSN' is a valid entity type for redaction.

Yes, SSN is a supported entity type.

The tool uses deterministic regex patterns to find sensitive data and replaces it with a placeholder like `[EMAIL_REDACTED]`. You can also choose to redact the entire sentence containing the sensitive data.

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