Memory Cache
An MCP service that reduces token consumption in language model interactions through efficient data caching
rating : 2.5 points
downloads : 11
What is an in-memory cache server?
An in-memory cache server is a tool based on the MCP (Model Context Protocol) designed to reduce token consumption by storing reusable data. It can automatically cache data when you interact with the language model, thereby improving efficiency and saving costs.How to use an in-memory cache server?
Simply install and run the in-memory cache server, and then configure it in your MCP client. No manual intervention is required, and the cache will automatically handle all data.Applicable scenarios
The in-memory cache server is particularly suitable for application scenarios that require frequent access to the same data, such as file reading, data analysis, and project navigation.Main features
Automatic cachingWhen you interact with the language model, the in-memory cache server will automatically save commonly used data and directly return the cached content on the next request.
Dynamic cleaningAutomatically remove expired or infrequently used cache entries according to the set rules to ensure that the memory does not grow indefinitely.
Multi-client compatibilitySupports any client that follows the MCP protocol and can be easily integrated into the existing workflow.
Advantages and limitations
Advantages
Significantly reduce token consumption and lower costs
Improve response speed and enhance the user experience
Easy to use without additional configuration
Limitations
May not show obvious effects for one-time tasks
Requires reasonable setting of the cache size to balance performance and memory usage
How to use
Install the in-memory cache server
You can choose to install it automatically through Smithery or manually clone the code and deploy it locally.
Configure the MCP client
Add the in-memory cache server to your MCP client settings and specify its path and parameters.
Start the server
After the configuration is completed, the in-memory cache server will automatically run in the background.
Usage examples
File reading testA certain amount of tokens will be consumed when reading a large file for the first time, and the second reading will directly obtain the data from the cache.
Data processing testAfter performing complex calculations on a set of data, subsequent requests can directly reference the results in the cache.
Frequently Asked Questions
How to check if the cache is working properly?
Will the cache grow indefinitely?
What data will be cached?
Related resources
Official documentation
Learn more about the in-memory cache server.
GitHub repository
View the source code and contribution guidelines.
Video tutorial
Watch the demonstration video to learn how to get started quickly.
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