152-FZ Data Anonymizer

About

This service automatically detects and masks sensitive personal data in text, specifically for Russian PII, to ensure compliance with Russian Law 152-FZ. It leverages specific regex patterns for Russian documents (like Passports, SNILS, INN) and machine learning models (Spacy) for Named Entity Recognition. Operating as an MCP Server for LLM agents or a standalone HTTP API via FastAPI, it's designed for privacy-first, on-premise deployment within your own infrastructure, offering simple setup via Docker.

Key Features

• Provides easy deployment with Docker and includes secure API key-based access for robust security.
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• Anonymizes over 25 categories of Russian PII, including passports, SNILS, names, addresses, and financial data.
• Designed for privacy-first, on-premise deployment, keeping all sensitive data within your organizational perimeter.
• Ensures compliance with Russian 152-FZ data protection law, analogous to GDPR for Russia.
• Offers dual operation as an MCP Server for LLM agents or a standalone FastAPI HTTP API for webhooks.

Use Cases

• Anonymizing sensitive Russian PII in documents and text to meet 152-FZ compliance requirements.
• Integrating with LLM agents (e.g., Claude, Cursor) to enable privacy-aware language model interactions.
• Automating data anonymization workflows via webhooks for systems like n8n or Zapier.