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GenPark LRU TTL Multi-Tier Cache

Official registry AI and agents

In-memory LRU cache with per-key TTL expiration, deterministic eviction, and hit/miss/stale telemetr

Source code Website Documentation

What can you do with GenPark LRU TTL Multi-Tier Cache?

  • 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.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

MCPB package https://github.com/Alpha-Park/genpark-lru-ttl-multi-tier-cache-skill/releases/download/v1.0.1/genpark-lru-ttl-multi-tier-cache-skill-v1.0.1.mcpb

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. GenPark LRU TTL Multi-Tier Cache
  2. 🌟 Key Features
  3. 🚀 Installation & Usage
  4. 📄 License

GenPark LRU TTL Multi-Tier Cache

In-memory LRU cache with per-key TTL expiration, deterministic eviction, and hit/miss/stale telemetry for LLMs.

Part of the GenPark AI Agent Skills Ecosystem.

🌟 Key Features

  • 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.

🚀 Installation & Usage

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.

📄 License

MIT License. Maintained by GenPark AI.

Frequently asked questions

What is GenPark LRU TTL Multi-Tier Cache?

In-memory LRU cache with per-key TTL expiration, deterministic eviction, and hit/miss/stale telemetr

How do I install GenPark LRU TTL Multi-Tier Cache?

Follow the installation steps in its documentation, shown on this page and in its repository.

Does GenPark LRU TTL Multi-Tier Cache need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is GenPark LRU TTL Multi-Tier Cache open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains GenPark LRU TTL Multi-Tier Cache?

It is published by alphaparkinc. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.