Redis MCP Server

Redis is an open-source, in-memory data structure store that can be used as a database, cache, message broker, and queue. It supports various data structures and offers high availability, scalability, and performance.

Features

• In-memory data storage with persistence options
• Support for diverse data structures (strings, hashes, lists, sets, sorted sets)
• Built-in replication and clustering
• Atomic operations
• Pub/Sub messaging
• Lua scripting capabilities

Getting Started

Connection Setup

const Redis = require('ioredis')

const redis = new Redis({
  host: process.env.REDIS_HOST,
  port: process.env.REDIS_PORT,
  password: process.env.REDIS_PASSWORD
})

Basic Operations

// String operations
await redis.set('key', 'value')
const value = await redis.get('key')

// Hash operations
await redis.hset('user:1', {
  name: 'John Doe',
  email: '[email protected]'
})

// List operations
await redis.lpush('queue', 'task1')
const task = await redis.rpop('queue')

// Set operations
await redis.sadd('tags', 'redis', 'database', 'cache')
const tags = await redis.smembers('tags')

Best Practices

• Use appropriate data structures for your use case
• Implement proper error handling and connection management
• Set reasonable TTL (Time To Live) for cached data
• Monitor memory usage
• Use Redis transactions when needed
• Implement proper backup strategies

Common Use Cases

• Caching
• Session management
• Real-time analytics
• Rate limiting
• Job queues
• Real-time messaging

Resources

• Redis Documentation
• Redis Best Practices
• ioredis Documentation