Memory Cache Server
by MCP-Mirror
A Model Context Protocol (MCP) server that reduces token consumption by efficiently caching data between language model interactions. It works with any MCP client and any language model that uses tokens.
Last updated: N/A
What is Memory Cache Server?
The Memory Cache Server is an MCP server designed to reduce token consumption in language model interactions by caching frequently accessed data. It automatically stores and retrieves data, minimizing the need to re-send information to the language model.
How to use Memory Cache Server?
To use the server, clone the repository, install dependencies, build the project, and add the server configuration to your MCP client settings. The server will then automatically start when you use your MCP client. Configuration can be adjusted via config.json or environment variables.
Key features of Memory Cache Server
Automatic caching of data between language model interactions
Reduces token consumption
Configurable cache size and time-to-live (TTL)
Automatic cache management (eviction of old/unused data)
Use cases of Memory Cache Server
Caching file content to avoid re-reading files
Caching computation results to avoid re-performing calculations
Caching frequently accessed data to reduce redundant processing
Improving performance of MCP clients interacting with language models
FAQ from Memory Cache Server
How does the server reduce token consumption?
How does the server reduce token consumption?
By caching data that would otherwise need to be re-sent between you and the language model.
What kind of data gets cached?
What kind of data gets cached?
File content, computation results, and frequently accessed data are all cached.
How is the cache managed?
How is the cache managed?
The server automatically stores data when first encountered, serves cached data when available, and removes old/unused data based on configured settings.
How can I configure the server?
How can I configure the server?
The server can be configured through config.json or environment variables, allowing you to adjust the maximum number of entries, memory usage, default TTL, check interval, and stats interval.
How can I verify that the server is working?
How can I verify that the server is working?
Look for the "Memory Cache MCP server running on stdio" message in the terminal, observe improved performance when accessing the same data multiple times, and monitor cache statistics for a high hit rate.