A
licenseA
qualityB
maintenanceLocal 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
131 npm
7
MIT
genpark-personal-vault-zero-knowledge-sanitizer-skill
Officialby alphaparkinc
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-personal-vault-zero-knowledge-sanitizer-skill
🌐 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
pipDependencies: 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: genpark-personal-vault-zero-knowledge-sanitizer-skill
🏗️ 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.py2. 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 |
|
| Yes | Primary context, text, or task input |
|
| No | Execution flags, thresholds, or sensitivity bounds |
Related MCP Connectors
Sphere Vault: one encrypted vault for every AI you use
Sovereign E2E cloud storage for AI agents. Zero-knowledge, RGPD-compliant.
A secret store for AI agents: the agent never sees the plaintext.
Detect and redact PII and secrets before text reaches an LLM, with reversible placeholders.
Related MCP Servers
- 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.-
- AlicenseBqualityAmaintenanceEnables 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.592 npm1Apache 2.0
- FlicenseNot gradedqualityBmaintenanceEnables reversible anonymization of sensitive PII such as SSNs, credit cards, passport numbers, emails, and phone numbers before sending prompts to external LLMs, then restores original values locally using HMAC isolation.7-