Mcp Server Conceal

Created By

Gianluca Brigandi5 months ago

Performs pseudo-anonymization rather than redaction to preserve semantic meaning and data relationships required for AI analysis. Example: john.smith@acme.com becomes mike.wilson@techcorp.com, maintaining structure while protecting sensitive information.

# mcp-server-conceal

# PII

Overview Content Tools Comments

Overview

What is MCP Server Conceal?

MCP Server Conceal is a proxy tool that performs pseudo-anonymization of Personally Identifiable Information (PII) before it reaches external AI providers, ensuring that sensitive data is protected while maintaining its semantic meaning and relationships.

How to use MCP Server Conceal?

To use MCP Server Conceal, download the appropriate binary for your platform from the Releases page, configure it with a mcp-server-conceal.toml file, and run it as a proxy to your MCP server.

Key features of MCP Server Conceal?

Pseudo-anonymization of PII to protect sensitive information.
Consistent mapping of real to fake data to maintain data relationships.
Supports multiple detection modes for PII (regex, LLM, or a combination).

Use cases of MCP Server Conceal?

Protecting user data in AI applications by anonymizing emails and phone numbers.
Ensuring compliance with data protection regulations while using AI services.
Facilitating safe data sharing for research and analysis without exposing sensitive information.

FAQ from MCP Server Conceal?

Can MCP Server Conceal handle all types of PII?

Yes, it can detect and anonymize various types of PII including emails, phone numbers, and more.

Is MCP Server Conceal easy to set up?

Yes, it provides pre-built binaries and detailed installation instructions for various platforms.

How does MCP Server Conceal ensure data consistency?

It uses a mapping database to ensure that the same real PII always maps to the same fake data.

Server Config

{
  "mcpServers": {
    "conceal-my-db": {
      "command": "mcp-server-conceal",
      "args": [
        "--target-command",
        "python3",
        "--target-args",
        "database-server.py --host localhost",
        "--config",
        "/path/to/mcp-server-conceal.toml"
      ],
      "env": {
        "DATABASE_URL": "postgresql://localhost/mydb"
      }
    }
  }
}

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