Memory Cache Server

Example Use Cases

• 1

  Read and analyze large files repeatedly without re-sending full contents each time (file content caching).

• 2

  Reuse expensive computation or analysis results across multiple interactions to save tokens and latency.

• 3

  Fast access to frequently referenced project files or directory listings while avoiding repeated I/O and token costs.

Description

A lightweight MCP-compatible cache server that stores file contents, computation results, and frequently accessed data to avoid re-sending the same information to language models. It works with any MCP client and any token-using language model, and is configurable via config.json or environment variables (TTL, memory limits, entry limits, intervals). The server automatically manages cache eviction (LRU, TTL), provides stats, and aims to speed up repeated operations while lowering token consumption and improving response times.