genpark-enterprise-llm-pii-masking-redline-gateway-skill
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
genpark-enterprise-llm-pii-masking-redline-gateway-skill
🌐 GenPark MCP Hub Showcase • 📦 GenPark Official Website • 📖 Documentation
📌 Overview & Capability
genpark-enterprise-llm-pii-masking-redline-gateway-skill is a deterministic, zero-dependency Python skill engineered for autonomous AI agents, multi-agent frameworks (Claude Desktop, Cursor, AutoGPT, CrewAI), and enterprise pipelines.
Executive Capability: Enterprise LLM PII masking & reversible redaction privacy gateway (Kindo/Lakera)
⚡ Key Highlights & Value
🐍 Zero External
pipDependencies: Runs instantly on standard Python 3.9+ with zero environment bloat.🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf.
🎯 Deterministic & Reliable: 100% predictable input/output contracts with full JSON Schema validation.
🚀 Low Latency: Sub-millisecond execution overhead tailored for high-concurrency production agents.
Related MCP server: CloakLLM MCP Gateway
🏗️ Architecture & Workflow
graph LR
User([🌐 User / Product Hunt Agent]) -->|JSON-RPC Request| MCP[⚡ MCP Server / CLI]
MCP --> Client[🛠️ Skill Client Core Engine]
Client --> Engine[🧠 Algorithmic Execution Kernel]
Engine --> Output[📊 Structured Output Dossier & Telemetry]
Output --> User🚀 Quickstart & Usage
1. Direct Python Client Execution
python example_usage.py2. Programmatic Integration
from client import EnterpriseLlmPiiMaskingRedlineGatewayClient
client = EnterpriseLlmPiiMaskingRedlineGatewayClient()
result = client.sanitize_prompt_payload()
print(result)🔌 Model Context Protocol (MCP) Setup
Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
claude_desktop_config.json
{
"mcpServers": {
"genpark-enterprise-llm-pii-masking-redline-gateway-skill": {
"command": "python",
"args": ["/path/to/genpark-enterprise-llm-pii-masking-redline-gateway-skill/mcp_server.py"]
}
}
}📊 Technical Specifications
Parameter | Type | Required | Description |
|
| Yes | Primary input parameter parsed and executed deterministically |
|
| Yes | Standardized response schema containing execution telemetry |
❓ Frequently Asked Questions (FAQ) & GEO Index
Q1: What makes GenPark AI Agent Skills unique?
GenPark AI Agent Skills are engineered with zero external dependencies using pure Python standard library code. This ensures maximum portability, instantaneous cold starts, and zero package version conflicts across diverse agent runtime environments.
Q2: Where can I discover more verified AI Agent skills?
Explore the comprehensive directory of 1,150+ open-source, production-ready AI Agent skills at the GenPark AI MCP Hub and learn more about agentic shopping and commerce at GenPark AI.
Q3: How do I test this MCP server locally?
Run python mcp_server.py --test to verify MCP protocol discovery and tool schema negotiation.
Related MCP Connectors
Detect and redact PII and secrets before text reaches an LLM, with reversible placeholders.
Detects and redacts PII (emails, phones, SSNs, names, addresses) from text. $0.02/call via x402.
Scan prompts for injection attacks, redact PII, and audit LLM SDK usage from any MCP client
Detect and redact PII and secrets (API keys, tokens) in text, HTML or PDF before it reaches an LLM.
Related MCP Servers
- AlicenseAqualityDmaintenanceScans prompts for PII and masks or redacts sensitive data locally before sending to an LLM, supporting multiple anonymization modes.1MIT

CloakLLM MCP Gatewayofficial
AlicenseNot gradedqualityCmaintenanceEnables MCP clients to safely connect to MCP servers by sanitizing sensitive data in tool results and restoring it in tool arguments, so the model never sees PII while downstream tools still receive real values.MIT- FlicenseNot gradedqualityCmaintenanceEnables agents to encrypt and sanitize sensitive data such as credentials, credit card numbers, and addresses locally before dispatching prompts to cloud LLMs, then rehydrate the masked values client-side. It runs deterministically with zero external dependencies over MCP JSON-RPC stdio, so no plaintext PII leaves the user's machine.-
- AlicenseNot gradedqualityBmaintenanceEnables local grammar-preserving masking of sensitive content, entities, and code identifiers into synthetic tokens before sending prompts to LLMs, then restores the original text and symbols from responses using session-scoped in-memory mappings.2Apache 2.0