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Mcp Proxy For Pii Pseudo Anonymization

Created By
gbrigandi5 months ago
Overview

what is MCP Proxy For PII Pseudo Anonymization?

MCP Proxy For PII Pseudo Anonymization is a tool designed to pseudo-anonymize Personally Identifiable Information (PII) before it is sent to external AI providers, ensuring data privacy while maintaining the semantic meaning of the data.

how to use MCP Proxy?

To use MCP Proxy, download the pre-built binary for your platform or build from source. Configure the mcp-server-conceal.toml file for PII detection and run the proxy with the target command for your MCP server.

key features of MCP Proxy?

  • Pseudo-anonymization of PII to protect sensitive information
  • Consistent mapping of real to fake data to maintain data relationships
  • Support for multiple detection modes (regex, LLM, regex_LLM)

use cases of MCP Proxy?

  1. Protecting user data in applications that interact with AI services.
  2. Ensuring compliance with data protection regulations by anonymizing sensitive information.
  3. Facilitating secure data sharing between organizations and AI providers.

FAQ from MCP Proxy?

  • What types of PII can MCP Proxy handle?

MCP Proxy can detect and pseudo-anonymize various types of PII, including emails, phone numbers, social security numbers, and more.

  • Is MCP Proxy easy to integrate with existing systems?

Yes! MCP Proxy is designed to be easily integrated with existing MCP servers and can be configured to meet specific needs.

  • How does pseudo-anonymization differ from redaction?

Pseudo-anonymization replaces sensitive data with fake data while preserving the structure and relationships, unlike redaction which removes the data entirely.

Server Config

{
  "mcpServers": {
    "conceal-database": {
      "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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