ib-mcp-cache-server

Memory Cache Server - README Summary

This README describes the Memory Cache Server, an MCP (Model Context Protocol) server designed to reduce token consumption in language model interactions by efficiently caching data. It works with any MCP client and language model that utilizes tokens.

Installation involves cloning the repository, installing dependencies using npm install, building the project with npm run build, and configuring the MCP client settings to point to the server's index.js file.

Configuration is managed through config.json or environment variables, allowing adjustments to maxEntries (cache size), maxMemory (memory limit), defaultTTL (cache duration), checkInterval (cleanup frequency), and statsInterval (statistics update frequency).

The server reduces token consumption by caching file content, computation results, and frequently accessed data. Automatic cache management stores data, serves cached data when available, and removes old/unused data based on configured settings. Optimization tips include setting appropriate TTLs, adjusting memory limits, and monitoring cache statistics. Practical tests include file reading, data analysis, and project navigation to verify cache functionality.