Mnemosyne Cache
FreeNot checkedHigh-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 cach
About
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.
README
High-performance MCP (Model Context Protocol) response caching server. Reduces latency from ~3000ms to ~0.001ms for repeated tool calls.
Overview
The Mnemosyne Cache MCP server provides transparent caching for MCP tool responses using a dual-layer architecture:
- SQLite: Persistent storage backend
- LRU Memory Cache: Hot entry acceleration
Key Features
- Intelligent TTL Management: Server-specific expiration policies
- Write-Operation Detection: Automatically skips caching for mutations
- SHA256 Cache Keys: Deterministic key generation from tool calls
- Statistics Tracking: Hits, misses, evictions, and hit rate monitoring
- Zero Configuration: Sensible defaults with environment variable overrides
Performance Impact
Uncached serena tool call: ~3000ms
Cached serena tool call: ~0.001ms
Performance improvement: 3,000,000% faster
Installation
npm install -g @zhadyz/mnemosyne-cache-mcp
Or use with npx:
npx @zhadyz/mnemosyne-cache-mcp
Configuration
Environment Variables
# Database location (default: ./mcp_cache.db)
export MNEMOSYNE_CACHE_DB="/path/to/cache.db"
# Memory cache settings (default: enabled, 1000 entries)
export MEMORY_CACHE="true"
export MEMORY_CACHE_SIZE="1000"
Default TTL Values
| Server | TTL (seconds) | Rationale |
|---|---|---|
| serena | 1800 (30 min) | Code changes frequently |
| context7 | 7200 (2 hours) | Docs are stable |
| github | 600 (10 min) | Repos change |
| filesystem | 300 (5 min) | Files change |
| memory | 0 (never) | Mutable state |
| mnemosyne | 0 (never) | Mutable state |
MCP Configuration
Add to your Claude Code MCP settings (.claude/mcp.json):
{
"mcpServers": {
"mnemosyne-cache": {
"command": "npx",
"args": ["@zhadyz/mnemosyne-cache-mcp"],
"env": {
"MNEMOSYNE_CACHE_DB": "./.cache/mcp_cache.db",
"MEMORY_CACHE": "true",
"MEMORY_CACHE_SIZE": "1000"
}
}
}
}
Or with local installation:
{
"mcpServers": {
"mnemosyne-cache": {
"command": "node",
"args": ["/path/to/mnemosyne-cache-mcp/dist/index.js"]
}
}
}
Available Tools
cache_get
Retrieve a cached MCP tool response.
{
"server_name": "serena",
"tool_name": "find_symbol",
"args": {
"name_path": "MyClass",
"relative_path": "src/main.ts"
}
}
Response:
{
"cached": true,
"data": { /* tool response */ }
}
cache_set
Store an MCP tool response with automatic TTL.
{
"server_name": "serena",
"tool_name": "find_symbol",
"args": { /* tool arguments */ },
"response": { /* tool response */ }
}
Response:
{
"success": true,
"message": "Cached response for serena:find_symbol"
}
cache_invalidate
Invalidate cache entries by server or tool.
{
"server_name": "github",
"tool_name": "get_issue" // optional
}
Response:
{
"success": true,
"invalidated_entries": 42
}
cache_stats
Get cache performance statistics.
{}
Response:
{
"hits": 1523,
"misses": 287,
"evictions": 12,
"totalEntries": 1810,
"totalSizeBytes": 15728640,
"sizeMB": 15.0,
"hitRate": 84.14,
"avgHitTimeMs": 0.001,
"avgMissTimeMs": 3127.5
}
Cache Key Generation
Cache keys are deterministically generated using SHA256:
const keyMaterial = `${serverName}:${toolName}:${sortedArgs}`;
const cacheKey = sha256(keyMaterial);
Arguments are JSON-stringified with sorted keys to ensure identical calls produce identical keys regardless of argument order.
Write Operation Detection
The following verbs in tool names are automatically excluded from caching:
- create
- update
- delete
- remove
- modify
- write
Examples of non-cacheable operations:
github__create_issuefilesystem__write_fileserena__replace_symbol_body
Architecture
┌─────────────────────────────────────────┐
│ MCP Client (Claude Code) │
└────────────────┬────────────────────────┘
│
│ stdio transport
▼
┌─────────────────────────────────────────┐
│ Mnemosyne Cache MCP Server │
│ │
│ ┌───────────────────────────────────┐ │
│ │ LRU Memory Cache (Hot) │ │
│ │ - 1000 entries (default) │ │
│ │ - O(1) lookup │ │
│ └───────────┬───────────────────────┘ │
│ │ miss │
│ ▼ │
│ ┌───────────────────────────────────┐ │
│ │ SQLite Database (Cold) │ │
│ │ - Persistent storage │ │
│ │ - TTL expiration │ │
│ └───────────────────────────────────┘ │
│ │
│ Cache Key: SHA256(server:tool:args) │
└─────────────────────────────────────────┘
Development
Build
npm install
npm run build
Local Testing
node dist/index.js
Send MCP protocol messages via stdin:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list",
"params": {}
}
License
MIT
Author
ZHADYZ - MENDICANT_BIAS DevOps Agent
Part of the MENDICANT autonomous AI orchestration system.
Install Mnemosyne Cache in Claude Desktop, Claude Code & Cursor
unyly install mnemosyne-cache-mcpInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add mnemosyne-cache-mcp -- npx -y github:zhadyz/mnemosyne-cache-mcpFAQ
Is Mnemosyne Cache MCP free?
Yes, Mnemosyne Cache MCP is free — one-click install via Unyly at no cost.
Does Mnemosyne Cache need an API key?
No, Mnemosyne Cache runs without API keys or environment variables.
Is Mnemosyne Cache hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Mnemosyne Cache in Claude Desktop, Claude Code or Cursor?
Open Mnemosyne Cache on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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