Detect and redact Personally Identifiable Information (PII) in text to protect privacy and secure sensitive data.
MIT
205,128 tools. Last updated 2026-06-15 09:36
"Methods and Tools for Identifying Personally Identifiable Information (PII)" matching MCP tools:
- Detect and mask personally identifiable information (PII) like emails, phone numbers, SSNs, IBANs, and credit cards in free text. Returns masked text with per-occurrence replacements.MIT
- Detect personally identifiable information (PII) like emails, phones, CPF, CNPJ, credit cards, and SSN in text. Costs 1 TNC per scan.MIT
- Detect and redact personally identifiable information (PII) from Word documents. Use dry run to review detected entities before committing redaction.MIT
- Get a single ecommerce order by ID. By default, personally identifiable information is stripped; require force to include it.MIT
- Detect and permanently redact sensitive information in documents with AI analysis. Supports PII, financial data, PHI, and custom criteria.MIT
Matching MCP Servers
- FlicenseCqualityDmaintenanceEnables high-precision detection, anonymization, encryption and decryption of personally identifiable information (PII) in text using GPT-4o-based detection and advanced cryptographic methods. Supports both deterministic encryption for searchable data and format-preserving encryption for structured identifiers.Last updated81
- Alicense-qualityCmaintenanceProvides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.Last updatedApache 2.0
Matching MCP Connectors
Token-efficient search for coding agents over public and private documentation.
Web scraping, code review, content gen, sentiment. Zero Core Tools.
- Scan text for personally identifiable information (PII) such as emails, phone numbers, and SSNs. Returns redacted text and types of detected PII to ensure compliance before sharing data with external services.MIT
- Detects Personally Identifiable Information (PII) in text, including emails, phone numbers, SSNs, credit cards, and IP addresses. Returns identified PII types, values, and positions for data security and compliance.Apache 2.0
- Detect Personally Identifiable Information (PII) in text to identify sensitive data like names, emails, phone numbers, and addresses for data privacy protection.MIT
- Remove personally identifiable information from text to protect privacy. This tool detects and anonymizes over 25 PII types using configurable methods like replacement, redaction, or encryption.MIT
- Retrieve available anonymization operators and their configurations for redacting Personally Identifiable Information (PII) in text and structured data.MIT
- Identify personally identifiable information (PII) and secrets in text, with an option to return a redacted version.MIT
- Analyze multiple texts simultaneously to detect Personally Identifiable Information (PII) for data privacy compliance.MIT
- Anonymize multiple texts simultaneously to protect Personally Identifiable Information (PII) using Microsoft Presidio's detection capabilities.MIT
- Detect personally identifiable information (PII) in JSON or structured data to identify privacy risks and ensure data protection compliance.MIT
- Remove personally identifiable information from JSON or dictionary data to protect privacy. This tool detects and anonymizes PII using configurable entities and thresholds.MIT
- Scan conversations to detect and identify personal identifiable information such as emails, phone numbers, and credit card numbers.MIT
- Scrub personally identifiable information such as IDs, emails, and phone numbers from text. Returns anonymized content and a replacement map.AGPL 3.0
- View all registered patterns used for detecting personally identifiable information (PII) in text, enabling effective context filtering before sending to an LLM.MIT
- Scan text for personally identifiable information (PII) and assess data sensitivity. Get safety status, classification, and specific warnings to protect sensitive content.AGPL 3.0