Redis Official MCP Server

Overview

The official Redis MCP Server offers a natural language interface designed for agentic applications to manage and search data in Redis efficiently. Additionally, the Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language, providing comprehensive Redis integration for AI agents.

Features

Data Operations

• Key-Value Operations: Get, set, delete Redis keys
• Data Structures: Lists, sets, sorted sets, hashes, streams
• Search: Full-text search with RediSearch
• JSON: Native JSON document storage and queries
• Time Series: Time-series data management

Redis Cloud Management

• Resource Management: Create and manage Redis databases
• Subscription Control: Manage Redis Cloud subscriptions
• Monitoring: Track performance metrics
• Configuration: Adjust database settings

Advanced Capabilities

• Pub/Sub: Real-time messaging
• Streams: Event streaming and processing
• Vector Search: Similarity search for AI/ML
• Graph: Graph database operations with RedisGraph

Redis Platform Capabilities

In-Memory Performance

• Sub-millisecond latency
• Millions of operations per second
• Optimized data structures
• Intelligent caching

Data Persistence

• Snapshot backups (RDB)
• Append-only file (AOF)
• Hybrid persistence
• Point-in-time recovery

High Availability

• Redis Sentinel for failover
• Redis Cluster for sharding
• Active-active geo-distribution
• Automatic replica promotion

Use Cases

Caching

• Application data caching
• Session management
• API response caching
• Database query caching

Real-Time Applications

• Live leaderboards
• Real-time analytics
• Message queues
• Streaming data processing

AI/ML Operations

• Vector similarity search
• Feature store for ML models
• Real-time recommendations
• Session embeddings storage

Session Management

• User session storage
• Shopping cart data
• Authentication tokens
• Temporary data storage

Redis Modules

RediSearch

• Full-text search engine
• Secondary indexing
• Aggregations
• Auto-completion

RedisJSON

• Native JSON support
• JSONPath queries
• Atomic operations
• Schema validation

RedisTimeSeries

• Time-series data storage
• Downsampling and aggregation
• Retention policies
• Compaction rules

RedisAI

• AI model serving
• Tensor operations
• Model inference
• Integration with TensorFlow, PyTorch

Integration

Works with AI assistants supporting MCP. Requires Redis instance (self-hosted or Redis Cloud). Compatible with Redis 6.0+ and Redis Stack.

Pricing

Redis Open Source

• Free and open-source
• Self-hosted deployment
• Community support

Redis Cloud

• Free tier: 30MB
• Pay-as-you-go pricing
• Fixed monthly plans
• Enterprise agreements

Redis Enterprise

• Self-managed enterprise edition
• Active-active geo-distribution
• Advanced security features
• 24/7 support