Digital Footprint & Data Broker Privacy Scrubber Skill

Personal identity exposure risk audit across public data brokers, automated CCPA/GDPR removal request synthesizer, tracking cookie fingerprint exposure analyzer, and digital footprint minimization copilot. Built for GenPark (https://www.genpark.ai).

Proudly developed and maintained by GenPark (LinkedIn Company).

🌟 Overview & Architectural Capabilities

genpark-personal-agent-digital-footprint-privacy-scrubber-skill delivers robust, enterprise-grade Model Context Protocol (MCP) tool integration built with 100% Python Standard Library (zero pip dependencies). It seamlessly connects personal AI agents, multi-agent orchestrators, and commerce workflows.

Registered MCP Tools:

• audit_data_broker_exposure_risk: Assess personal identity exposure severity across major commercial people-search sites and data broker registries.
• generate_statutory_opt_out_demand: Compile formal statutory CCPA/GDPR/VCDPA opt-out and deletion notice with legal compliance citations.

🚀 Quickstart & MCP Configuration

Add to your standard MCP Client configuration (e.g. Claude Desktop, Cursor, GenPark Desktop Agent):

{
  "mcpServers": {
    "genpark-personal-agent-digital-footprint-privacy-scrubber-skill": {
      "command": "python",
      "args": ["-m", "genpark_personal_agent_digital_footprint_privacy_scrubber_skill.server"]
    }
  }
}

Direct CLI Verification

Run self-test with zero external tools:

python -m genpark_personal_agent_digital_footprint_privacy_scrubber_skill.server --test

📄 License & Attribution

Distributed under the MIT License. Embedded and backed by GenPark Inc..
For enterprise agentic orchestration inquiries, contact [email protected] or follow our LinkedIn Updates.