ib-mcp-cache-server
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Memory Cache Server is a Model Context Protocol (MCP) server designed to reduce token consumption by caching data efficiently between language model interactions.
The Memory Cache Server is an MCP server that optimizes interactions with language models by caching data, thereby reducing the need to resend data and consume additional tokens. It integrates seamlessly with any MCP client and supports any language model that uses tokens. The server automatically manages the caching process, storing data when first encountered and serving cached data when available. It also removes old or unused data based on configurable settings, ensuring efficient memory usage. The server can be configured through a JSON file or environment variables, allowing for flexibility in managing cache size, memory usage, and data retention times. By caching file contents, computation results, and frequently accessed data, the server significantly reduces token consumption, leading to improved performance and cost savings.
Features
- Automatic Caching: Automatically caches data during interactions with language models, reducing the need for repeated data transmission.
- Configurable Settings: Allows customization of cache size, memory limits, and data retention times through JSON configuration or environment variables.
- Efficient Memory Management: Manages memory usage by removing old or unused data based on configurable settings.
- Statistics Tracking: Tracks cache effectiveness through hit/miss rates and other statistics, helping to monitor and optimize performance.
- Platform Agnostic: Compatible with any MCP client and language model that uses tokens, providing broad applicability.
