Ib Memory Cache
Reduces language model token consumption by efficiently caching data between interactions.
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The Ib Memory Cache is a Model Context Protocol (MCP) server designed to minimize token usage when interacting with language models. It functions by automatically caching data, such as file content, computation results, and frequently accessed information, between interactions with any MCP client. By storing and retrieving this data, it eliminates the need to resend information to the language model, leading to significant token savings and improved performance. The server is configurable with customizable time-to-live (TTL), memory limits, and cleanup intervals, and it provides statistics to monitor cache effectiveness.
Características Principales
- Automatic caching of data for reduced token consumption
- Configurable cache settings (max entries, memory, TTL)
- Environment variable overrides for configuration
- Automatic cache management (storage, retrieval, removal)
- Statistics for monitoring cache effectiveness
Casos de Uso
- Reducing token usage when reading the same file multiple times
- Decreasing token consumption for repetitive data analysis
- Improving performance in project navigation tasks
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