ibproduct_ib-mcp-cache-server
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A Model Context Protocol (MCP) server that reduces token consumption by efficiently caching data between language model interactions.
The Memory Cache Server is a Model Context Protocol (MCP) server designed to optimize interactions with language models by caching data, thereby reducing token consumption. It seamlessly integrates with any MCP client and language model that uses tokens. The server automatically caches data such as file contents, computation results, and frequently accessed information, which helps in minimizing the need to resend data between the client and the language model. This results in improved performance and reduced token usage. The server is highly configurable, allowing users to set parameters like maximum cache entries, memory usage, and time-to-live (TTL) for cached items. It also provides automatic cache management, ensuring that data is stored, served, and removed efficiently based on usage patterns. Users can monitor cache effectiveness through statistics and adjust settings to optimize performance further.
Features
- Automatic Caching: Caches data automatically during interactions with language models, reducing token consumption without user intervention.
- Configurable Settings: Allows customization of cache parameters such as max entries, memory usage, and TTL through config files or environment variables.
- Efficient Cache Management: Automatically manages cache by storing, serving, and removing data based on usage and configuration settings.
- Performance Monitoring: Provides statistics on cache effectiveness, allowing users to monitor hit/miss rates and optimize settings.
- Platform Agnostic: Compatible with any MCP client and language model that uses tokens, ensuring broad applicability.
