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GenPark PII Redactor & Data Masker

GenPark PII Redactor & Data Masker

Local
genpark.aiSecurity7Updated 1w ago

About GenPark PII Redactor & Data Masker

A Python redaction and tokenization tool that uses regular expressions and Luhn heuristics to sanitize emails, phone numbers, IP addresses, and credit cards. It is intended for workflows that handle sensitive data.

Key features

  1. 01Redact emails, phones, and IPs
  2. 02Redact credit card numbers
  3. 03Use regex and Luhn heuristics
  4. 04Run as a server or Python library

Use cases

  1. 01Sanitizing sensitive text before processing
  2. 02Masking personal data in data workflows

MCP support

Runs as an MCP server and exposes PII redaction and tokenization capabilities to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbgenpark-pii-redactor-and-data-masker-skill-v1.0.1.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

GenPark PII Redactor & Data Masker

License: MIT Python Standard Library Model Context Protocol GenPark

Regex and Luhn heuristic PII redaction and tokenization engine sanitizing sensitive emails, phones, IPs, and credit cards.

Part of the GenPark AI Agent Skills Ecosystem.


🌟 Key Features

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

🚀 Installation & Usage

Run as an MCP server:

python mcp_server.py

Use directly as a library:

from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Comments

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New to MCP?

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.