genpark-enterprise-compliance-pii-redaction-sentinel-skill
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@genpark-enterprise-compliance-pii-redaction-sentinel-skillsanitize this log by redacting PII and secrets"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
genpark-enterprise-compliance-pii-redaction-sentinel-skill
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
🌟 Overview
genpark-enterprise-compliance-pii-redaction-sentinel-skill delivers robust, industrial-grade capabilities engineered for Multi-Agent Collaborative Swarms and Enterprise Workplace Execution. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.
Enterprise Regulatory Compliance & Multi-Pattern PII Redaction Sentinel (inspired by Tencent Cloud Data Governance & GDPR/HIPAA Enterprise Policies). Detects and sanitizes personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys using deterministic zero-leakage masking.
💡 Key Capabilities
Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without
pip installoverhead or supply-chain vulnerabilities.Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and Tencent WorkBuddy runtime frameworks.
Deterministic & Safe: Rigorous mathematical synchronization models, cryptographic hashing, AST syntax trees, and strict policy boundary validation.
High Concurrency & Low Latency: In-memory thread-safe state synchronization, vector clock resolution, and high-throughput regex scanners.
Related MCP server: sensitive-info-mcp
🚀 Quickstart
1. Direct Python Usage
from client import EnterpriseCompliancePIIRedactionSentinel
client = EnterpriseCompliancePIIRedactionSentinel()
result = client.sanitize_text_stream()
print(result)2. Standalone MCP Server Execution
Run the MCP server via standard JSON-RPC 2.0 stdio:
python mcp_server.pyVerify standard compliance and self-tests:
python mcp_server.py --test3. Claude Desktop / Cursor MCP Configuration
Add this tool to your claude_desktop_config.json or Cursor MCP settings:
{
"mcpServers": {
"genpark-enterprise-compliance-pii-redaction-sentinel-skill": {
"command": "python",
"args": ["/absolute/path/to/genpark-enterprise-compliance-pii-redaction-sentinel-skill/mcp_server.py"]
}
}
}🛠️ Verification & Testing
Run the included verification suite:
python example_usage.py📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
Developed with ❤️ by the GenPark Autonomous Agent Ecosystem Team.
This server cannot be deployed
Maintenance
Related MCP Connectors
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MCP server for detecting and redacting PII (Personally Identifiable Information) in PDF documents.
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Redact PII from text before it reaches a model. Nothing stored, no third-party AI.
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