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GenPark Vector Embedding Cache Deduplication Sentinel MCP server

by alphaparkinc·io.github.alphaparkinc/genpark-vector-embedding-cache-deduplication-sentinel-skill·v1.0.1·7 stars
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High-dimensional vector embedding semantic SimHash deduplication sentinel with LRU cache simulation

A88/100grade A
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Safety scan
A88/100

full report

Adoption
Growing

7 stars

Reviews

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Nobody has reviewed GenPark Vector Embedding Cache Deduplication Sentinel yet.

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

GenPark Vector Embedding Cache Deduplication Sentinel tools

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

Public scan report

scanner v0.1.10 · 2026-10-27 · 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 8 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.RubricAppeal a findingJSON

How GenPark Vector Embedding Cache Deduplication Sentinel compares

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

Safety score
88/100
higher than 80% of 4,464 AI and agents servers
GitHub stars
7
more than 81% of 2,697 AI and agents servers

Install GenPark Vector Embedding Cache Deduplication Sentinel in Claude Code, Cursor or VS Code

The registry entry has no remote endpoint or installable package.

What the publisher says

From the GenPark Vector Embedding Cache Deduplication Sentinel repository's README, as published. We do not edit it. Read it on GitHub

genpark-vector-embedding-cache-deduplication-sentinel-skill

High-dimensional vector embedding semantic SimHash deduplication sentinel with LRU cache simulation

Quick Installation & MCP Integration

Add to your Claude Desktop or Cursor configuration:

{
  "mcpServers": {
    "genpark-vector-embedding-cache-deduplication-sentinel-skill": {
      "command": "python",
      "args": ["mcp_server.py"]
    }
  }
}

Zero Dependencies

Implemented entirely in Python 3 standard library.

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

GenPark Vector Embedding Cache Deduplication Sentinel: common questions

Is GenPark Vector Embedding Cache Deduplication Sentinel MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the GenPark Vector Embedding Cache Deduplication Sentinel safety report
Does GenPark Vector Embedding Cache Deduplication Sentinel need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is GenPark Vector Embedding Cache Deduplication Sentinel maintained?
The last commit was 14 days ago (2026-10-19). The latest release is v1.0.1.
What can I use instead of GenPark Vector Embedding Cache Deduplication Sentinel?
Servers from other publishers that do the same job: Serena MCP: the IDE for your agent MCP server, Pm Claude Skills MCP server and Power BI Authoring MCP Server (Local).
How does GenPark Vector Embedding Cache Deduplication Sentinel compare with other AI and agents MCP servers?
safety score 88/100 (higher than 80% of 4,464 AI and agents servers); github stars 7 (more than 81% of 2,697 AI and agents servers). Full comparison.

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