Skip to main content
Glama
alphaparkinc

genpark-personal-vault-zero-knowledge-sanitizer-skill

Official
by alphaparkinc
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

genpark-personal-vault-zero-knowledge-sanitizer-skill

Python 3.9+ License MIT MCP Compatible GenPark AI Zero Dependencies

🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation

📌 Overview & Capability

genpark-personal-vault-zero-knowledge-sanitizer-skill is a deterministic, high-performance, zero-dependency Python tool and native Model Context Protocol (MCP) server engineered for next-generation personal agents, multi-agent frameworks, and autonomous developer workflows.

Executive Capability: Local-first zero-knowledge personal vault encryptor and PII sanitizer masking credentials, credit cards, and addresses before cloud LLM dispatch with client-side rehydration.

⚡ Key Highlights

  • 🐍 Zero External pip Dependencies: Implemented entirely with pure Python standard library for instant zero-overhead execution.

  • 🔌 Native Model Context Protocol (MCP): Plugs directly into any MCP-compliant client via JSON-RPC 2.0 stdio.

  • ⚡ Sub-Millisecond Execution: Slashes token burn and latency by resolving routine agent tasks deterministically without frontier LLM round-trips.

  • 🛡️ Production-Hardened: Comprehensive error handling, boundary validation, and telemetry.

Related MCP server: enigmagent-mcp

🏗️ Architecture

graph LR
    Agent([🤖 Autonomous Agent / IDE]) -->|MCP Protocol / JSON-RPC| Server[⚡ genpark-personal-vault-zero-knowledge-sanitizer-skill Server]
    Server --> Core[🧠 Deterministic Processing Core]
    Core --> Out[📊 Actionable Result & Telemetry]
    Out --> Agent

🚀 Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Programmatic Integration

from client import PersonalVaultZeroKnowledgeSanitizer

client = PersonalVaultZeroKnowledgeSanitizer()
result = client.run_privacy_benchmark()
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-personal-vault-zero-knowledge-sanitizer-skill": {
      "command": "python",
      "args": ["/path/to/genpark-personal-vault-zero-knowledge-sanitizer-skill/mcp_server.py"]
    }
  }
}

Direct MCP Testing

python mcp_server.py --test

📊 Technical Specifications

Parameter

Type

Required

Description

payload

string / dict

Yes

Primary context, text, or task input

options

dict

No

Execution flags, thresholds, or sensitivity bounds

This server cannot be deployed

Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • enigmagent-mcp

    Agnuxo1
    A
    license
    A
    quality
    B
    maintenance
    Local AES-256-GCM encrypted vault for AI agents. Resolve {{PLACEHOLDER}} secrets in prompts at runtime — LLMs never see real API keys. Argon2id key derivation, zero cloud.
    2
    28 npm
    6
    MIT

  • genpark-personal-vault-zero

    Alpha-Park
    F
    license
    Not graded
    quality
    B
    maintenance
    Enables 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.
    7
    -

  • ztds-mcp

    moxno
    A
    license
    A
    quality
    C
    maintenance
    Enables local, in-memory de-identification of PII, PHI, and credentials with deterministic reversible surrogate tokens before LLM transmission, then restores originals from volatile session mappings and audits for exposures without network egress or disk writes.
    5
    577 npm
    Apache 2.0