Detect and replace personally identifiable information (PII) in text with labeled placeholders to protect privacy before logging or sharing.
MIT
650,572 tools. Updated 2026-10-14 14:29
"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
- Redacts personally identifiable information (PII) such as emails, phone numbers, credit card numbers, and Social Security numbers from text, ensuring GDPR, HIPAA, and DLP compliance before sharing with external LLMs.MIT
- Detects and masks personally identifiable information like SSNs, credit cards, emails, phone numbers, and API keys before data reaches AI models.MIT
- Identify where your codebase handles or stores personally identifiable information (PII) to support GDPR compliance audits.MIT
- Scan LLM output for PII (emails, SSNs, credit cards) using regex patterns, including jurisdiction-specific sets and custom rules. Returns a compliance score and flags matches with optional redaction.Apache 2.0
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-
- AlicenseAqualityCmaintenanceEnables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.838 PyPIMIT
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.
- 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
- Retrieve the manifest and tools with action types for a given app (PII-masked). This supports building, validating, and deploying Imperal apps.Apache 2.0
- 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
- Detect and redact personally identifiable information (PII) from Word documents. Use dry run to review detected entities before committing redaction.MIT
- Scan text for personal data such as emails, phone numbers, IDs, and addresses, and get a masked copy with entities redacted. Prevent PII leaks before logging or sharing content.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
- 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
- Detect and permanently redact sensitive information from documents using AI analysis, then save the redacted file locally. Supports PII, financial data, PHI, and custom criteria.MITDestructive
- 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