Detect and replace personally identifiable information (PII) in text with labeled placeholders to protect privacy before logging or sharing.
MIT
458,064 tools. Updated 2026-08-14 21:02
"Methods and Tools for Identifying Personally Identifiable Information (PII)" matching MCP tools:
- Detect and redact Personally Identifiable Information (PII) in text to protect privacy and secure sensitive data.MIT
- Scan LLM output for personally-identifiable information (PII) like emails, SSNs, and credit cards using local regex patterns. Returns a pass/fail score and lists detected PII types.Apache 2.0
- Scan text for personally identifiable information (PII) including emails, phone numbers, tax IDs, SSNs, and credit cards. Use it to audit content before logging or sharing to comply with GDPR and LGPD.MIT
- Mask personally identifiable information (PII) and secrets in prompt text before sending to an LLM via Blekline's control plane.AGPL 3.0
- 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
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.81
- Alicense-qualityDmaintenanceProvides 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.Apache 2.0
Matching MCP Connectors
Scans text for personally identifiable information — emails, phone numbers, SSNs, credit card numbers, physical addresses, names — and returns a redacted version. Built for agents sanitizing user content, support tickets, logs, or documents before storage, sharing, or feeding into another LLM call. Pay-per-call via x402 (USDC on Base): $0.01/call, no account or API key. tools/list and /openapi.json are free for discovery.
Detects and redacts PII (emails, phones, SSNs, names, addresses) from text. $0.02/call via x402.
- Detect and redact personally identifiable information (PII) from Word documents. Use dry run to review detected entities before committing redaction.MIT
- Detect and redact personally identifiable information (PII) from Word documents using Presidio and spaCy NER. Supports dry-run for review before commitment.MIT
- Detect GDPR compliance issues in Python, JavaScript, and TypeScript by analyzing source code with AST parsing, identifying cross-border data transfers, PII mishandling, and logging violations.MIT
- Redacts personally identifiable information by replacing emails, phone numbers, and URLs with [REDACTED] tags to protect user data before external sharing.
- Detect and anonymize personally identifiable information (PII) in text. Choose an action: redact, mask, hash, or warn to handle matches.MIT
- Detect and anonymize PII in prompt text before sending to an LLM. Identifies emails, phone numbers, credit cards, and more, returning risk level and masked content.MIT
- Detect and permanently redact sensitive information in documents with AI analysis. Supports PII, financial data, PHI, and custom criteria.MIT
- 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
- Check drafted responses for leaked personally identifiable information (PII) before sending. Returns verdict, found items, and a masked version safe to output.AGPL 3.0
- 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
- Redacts secrets and personally identifiable information (PII) from text, replacing them with [REDACTED_TYPE] tokens. Use to prepare file contents before including in prompts or outputs.MIT
- 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
- Replace protected health information and personally identifiable information in text with reversible typed placeholders, keeping data private before LLM processing.MIT