Redis MCP Server
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
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