GenPark Structured Data Mask Reconstruction Guard MCP server

by alphaparkinc·io.github.alphaparkinc/genpark-structured-data-mask-reconstruction-guard-skill·v1.0.1·7 stars

Deterministic reversible tabular and JSON record anonymizer and de-identification guard with HMAC

A88/100grade A

What users say

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Safety scan

A88/100

Adoption

Growing

7 stars

Reviews

Nobody has reviewed GenPark Structured Data Mask Reconstruction Guard yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

No tool declarations could be read from the package source. They show once the server is installed.

scanner v0.1.10 · 2026-10-26 · same rubric, same numbers if you re-run it

no findings

–Code scanpackage could not be scannedn/a
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitylocal package, no credentials required12/15
Maintenancelast push 5 days ago15/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

The registry entry has no remote endpoint or installable package.

From the GenPark Structured Data Mask Reconstruction Guard repository's README, as published. We do not edit it. Read it on GitHub

Deterministic reversible tabular and JSON record anonymizer and de-identification guard with HMAC pseudonyms.

Part of the GenPark AI Agent Skills Ecosystem.

100% Python Standard Library: Zero third-party runtime dependencies.
MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

Run as an MCP server:

python mcp_server.py

Use directly as a library:

from client import *

See example_usage.py for comprehensive integration demonstrations.

MIT License. Maintained by GenPark AI.

Nothing above is checked by us. What we check is on the safety report.

Is GenPark Structured Data Mask Reconstruction Guard MCP server safe?: Yes, by our scan: it is graded A (88/100). Read the GenPark Structured Data Mask Reconstruction Guard safety report
Does GenPark Structured Data Mask Reconstruction Guard need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is GenPark Structured Data Mask Reconstruction Guard maintained?: The last commit was 12 days ago (2026-10-21). The latest release is v1.0.1.
How does GenPark Structured Data Mask Reconstruction Guard compare with other MCP servers?: safety score 88/100 (higher than 75% of 48,273 servers); github stars 7 (more than 86% of 28,534 servers). Full comparison.