"Yii" matching MCP servers:

This server gives AI assistants controlled read and write access to a Firefly III personal finance instance over MCP, exposing 139 operations across 24 entities with optional read-only mode and support for both stdio and authenticated HTTP transport.

PII detection agent

MCP server for secure read-only PostgreSQL queries with automatic PII masking, pseudonymization, and strict SQL guards to enforce data privacy compliance.

Enables 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.

Enables agents and applications to scan text streams for personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys, returning sanitized output with deterministic zero-leakage masking. It runs as a zero-dependency MCP stdio server or importable Python module so regulatory compliance policies (GDPR/HIPAA-style) can be enforced on data before it leaves a workflow.

Enables detection and deterministic masking of personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys so sensitive data can be sanitized before further processing. Runs as a zero-dependency Python MCP server over JSON-RPC 2.0 stdio for use in Claude Desktop, Cursor, and other MCP-compatible clients.

Detect PII in text: emails, phones, SSNs, credit cards, IPs, addresses. Pay-per-call via x402 micropayments without API keys or signup.

Enables redaction and sanitization of document PII and credentials through MCP, including Luhn credit-card verification, reversible salt hashing, and audit logging.

Strips personal data and credentials from text before it reaches a model, log, or ticket, using checksum-verified detection for cards, IBANs, routing numbers, SSNs, contact details, and API keys. Placeholders such as <EMAIL_1> can later be swapped back in so the model's response is restored with the original values.

Australian and New Zealand PII detection and sanitisation for AI agents, using Microsoft Presidio with custom recognizers for TFN, Medicare, ABN, and more.

A comprehensive MCP server for automated AWS data discovery, PII detection, and data governance using Lake Formation.

MCP server for automatic detection and redaction of PII in text, with anonymization and deanonymization capabilities, all local processing.

ZeroTrusted ai PII Detection

Enables document layout parsing, complex table reconstruction, formula auditing, and PII/credential redaction with Luhn verification, reversible salt hashing, and audit logs through MCP-compatible clients.

Enables MCP-compliant clients to sanitize prompt payloads by deterministically masking and reversibly redacting PII before they reach LLMs, returning structured output and telemetry.

Enables AI agents to redact PII from text, summarize redacted content, and manage custom redaction patterns across multiple languages.

Provides prompt injection detection, PII/secrets redaction, and an audit trail for AI agents via MCP tools.

Enables an AI assistant to redact text and, more importantly, files without reading them, since file redaction and restoration happen locally and only counts are reported, keeping personal data out of the conversation. It exposes tools for redacting text, writing a redacted copy of a UTF-8 file with an owner-only restore mapping, and putting original values back offline.

Enables Claude Code to work with personal data that stays on the local machine, running SQL, Python, and file/schema inspection in a sandboxed compute-to-data setup that returns only aggregates, schemas, synthetic fixtures, and pseudonymized results. Raw records, file names, and protected values never reach the Anthropic API, so Auto mode can stay hands-off.

PII sanitization layer for autonomous AI agent pipelines. Detects and redacts emails, phone numbers, national IDs, private keys, and financial data before text reaches LLMs. Supports EN, ES (LATAM), PT (BR/PT), DE, JA.