what is Memory Cache Server?
Memory Cache Server is a Model Context Protocol (MCP) server designed to reduce token consumption by efficiently caching data between interactions with language models. It works seamlessly with any MCP client and language model that utilizes tokens.
how to use Memory Cache Server?
To use the Memory Cache Server, clone the repository, install dependencies, build the project, and configure it in your MCP client settings. The server starts automatically when the MCP client is used.
key features of Memory Cache Server?
- Automatic caching of data to reduce token usage
- Configurable cache settings for optimal performance
- Supports multiple MCP clients and language models
use cases of Memory Cache Server?
- Caching file contents to minimize repeated token usage
- Storing computation results for faster access
- Improving performance for frequently accessed data
FAQ from Memory Cache Server?
- How does the Memory Cache Server reduce token consumption?
It caches data that would otherwise need to be re-sent, allowing for fewer tokens to be used during repeated interactions.
- Can I configure the cache settings?
Yes! You can configure settings like maximum entries, memory limits, and time-to-live for cached items.
- Is it compatible with all MCP clients?
Yes! The server is designed to work with any MCP client that supports the Model Context Protocol.
what is Memory Cache Server?
Memory Cache Server is a Model Context Protocol (MCP) server designed to reduce token consumption by efficiently caching data between interactions with language models. It works seamlessly with any MCP client and language model that utilizes tokens.
how to use Memory Cache Server?
To use the Memory Cache Server, clone the repository, install dependencies, build the project, and configure it in your MCP client settings. The server starts automatically when the MCP client is used.
key features of Memory Cache Server?
- Automatic caching of data to reduce token usage
- Configurable cache settings for optimal performance
- Supports multiple MCP clients and language models
use cases of Memory Cache Server?
- Caching file contents to minimize repeated token usage
- Storing computation results for faster access
- Improving performance for frequently accessed data
FAQ from Memory Cache Server?
- How does the Memory Cache Server reduce token consumption?
It caches data that would otherwise need to be re-sent, allowing for fewer tokens to be used during repeated interactions.
- Can I configure the cache settings?
Yes! You can configure settings like maximum entries, memory limits, and time-to-live for cached items.
- Is it compatible with all MCP clients?
Yes! The server is designed to work with any MCP client that supports the Model Context Protocol.
