Memory Cache
Implements an efficient in-memory caching layer, reducing token consumption and optimizing repeated data access patterns in workflows.
About
This memory cache server, developed by Tosin Akinosho, provides an efficient caching layer for Model Context Protocol (MCP) interactions to reduce token consumption. Built with TypeScript and leveraging the MCP SDK, it implements an in-memory storage system with LRU eviction, TTL management, and automatic cache cleanup. The server focuses on optimizing repeated data access patterns in AI workflows, enabling faster response times and lower costs. It's particularly useful for applications involving frequent file operations, repeated computations, or access to static datasets, allowing seamless integration with any MCP client and language model without requiring changes to existing code.
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