GenPark Vector Embedding Cache Deduplication Sentinel MCP
An MCP server that provides high-dimensional vector embedding semantic deduplication using SimHash and LRU cache simulation. It helps agents manage embedding caches efficiently by identifying duplicates and optimizing storage, implemented entirely in Python 3 standard library with zero external dependencies.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Deduplicate high-dimensional vector embeddings using SimHash
- Simulate LRU cache behavior for embedding storage
- Optimize agent memory usage by removing redundant embeddings
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
https://github.com/Alpha-Park/genpark-vector-embedding-cache-deduplication-sentinel-skill/releases/download/v1.0.1/genpark-vector-embedding-cache-deduplication-sentinel-skill.mcpb
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Reported by the attributed source; not independently observed by Koskamo.
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