# Mnemosyne Cache MCP

> Use this tool when you need to minimize latency and optimize performance for repeated tool calls. The Mnemosyne Cache MCP reduces response times from ~3000ms to ~0.001ms by utilizing a dual-layer SQLite and LRU memory cache, making it ideal for applications requiring fast data retrieval. It takes in tool call requests and returns cached responses, suitable for use cases where speed and efficiency are critical.

Canonical page: https://skillsregistry.net/skills/zhadyz-mnemosyne-cache-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zhadyz-mnemosyne-cache-mcp

## Description

High-performance MCP response caching server that reduces latency from ~3000ms to ~0.001ms for repeated tool calls using a dual-layer SQLite and LRU memory cache.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w0p8merza9)
- **Repository:** <https://github.com/zhadyz/mnemosyne-cache-mcp>

## 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": "zhadyz-mnemosyne-cache-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhadyz-mnemosyne-cache-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhadyz-mnemosyne-cache-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt