ib-mcp-cache-server
9
The Memory Cache Server is an MCP server focused on reducing token consumption through efficient data caching for language model interactions. It works with various MCP clients and manages caching automatically to enhance performance.
Memory Cache Server
A Model Context Protocol (MCP) server designed to reduce token consumption by caching data between language model interactions. It integrates with any MCP client and supports any token-based language model.
Installation
- Clone the repository and navigate to the directory.
- Install dependencies and build the project.
- Add the server to your MCP client settings.
Configuration
The server can be configured with config.json or environment variables, allowing customization of cache size, memory usage, and other parameters.
Features
- Reduces token use by caching file contents, computation results, and frequently accessed data.
- Automatic cache management with statistics tracking for cache effectiveness.
Optimization Tips
- Adjust TTLs and memory limits according to your needs.
- Monitor cache statistics for optimization insights.
How It Works
- Automatically caches data, reducing the need to resend information between the client and the language model.