# Memory Cache

> Use this tool when you need to optimize AI workflows by reducing token consumption and improving response times through efficient caching of repeated data access patterns. It solves problems of slow data retrieval and high costs in applications with frequent file operations or repeated computations. The Memory Cache server takes in MCP interactions as input and outputs cached data, making it a useful addition to any AI workflow involving static datasets or computationally expensive operations.

Canonical page: https://skillsregistry.net/skills/tosin2013-memory-cache  
JSON: https://api.skillsregistry.net/v1/skills/tosin2013-memory-cache

## Description

This memory cache server, developed by Tosin Akinosho, provides an efficient caching layer for Model Context Protocol (MCP) interactions to reduce token consumption. Built with TypeScript and leveraging the MCP SDK, it implements an in-memory storage system with LRU eviction, TTL management, and automatic cache cleanup. The server focuses on optimizing repeated data access patterns in AI workflows, enabling faster response times and lower costs. It's particularly useful for applications involving frequent file operations, repeated computations, or access to static datasets, allowing seamless integration with any MCP client and language model without requiring changes to existing code.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tosin2013-memory-cache)
- **Repository:** <https://github.com/tosin2013/mcp-memory-cache-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tosin2013-memory-cache"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tosin2013-memory-cache` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tosin2013-memory-cache/pull`

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