Redis MCP Server enables AI assistants to manage Redis in-memory data stores through natural language. Handle caching strategies, session management, pub/sub messaging, and real-time data operations with sub-millisecond latency.
70% of web apps suffer from slow database queries. Cache invalidation nightmares, memory management complexity, and Redis command syntax slow down development.
Redis MCP makes caching conversational. Optimize performance, manage memory, and handle real-time data effortlessly. Tell Claude what you need cached, and watch response times drop to microseconds.
Smart cache management with automatic TTL and invalidation strategies.
Manage message queues and real-time communication channels naturally.
Work with strings, hashes, lists, sets, and sorted sets conversationally.
Monitor memory usage, hit rates, and optimize performance automatically.
Install Redis MCP Server
npm install -g redis-mcp-serverSet Redis connection
redis://localhost:6379Configure Claude Desktop
{
"mcpServers": {
"redis": {
"command": "redis-mcp",
"args": ["--url", "redis://localhost:6379"]
}
}
}Start caching!
Try: "Cache user sessions with 1-hour expiration"
Store and manage user sessions at scale.
Process and cache real-time data streams.
Build pub/sub systems and job queues.
Cache management:
"Cache API responses with 5-minute TTL"Session handling:
"Store user session data with automatic expiration"Real-time messaging:
"Create a pub/sub channel for notifications"Performance monitoring:
"Show cache hit rate and memory usage"Redis can handle 100,000+ operations per second with sub-millisecond latency.
Yes! Full Redis Cluster support for horizontal scaling across multiple nodes.
Optional persistence with RDB snapshots and AOF (Append Only File) logging.
Limited by RAM, but can handle datasets up to hundreds of GB with proper configuration.
Full support for Redis Stack modules including RedisJSON, RedisSearch, and RedisGraph.