Manage Redis Cloud Infrastructure Through Natural Language

Skip the Redis Cloud dashboard. This MCP server turns Claude into your Redis Cloud operations assistant, letting you provision databases, manage subscriptions, and monitor tasks using plain English.

Stop Context-Switching Between Tools

You're in Claude working on architecture decisions, and you need to spin up a new Redis instance for your e-commerce cache layer. Instead of opening another tab, logging into Redis Cloud, navigating through their UI, and configuring settings manually, you just ask:

"Create a new Redis database in AWS us-east-1 with 4GB memory for my e-commerce cache"

Claude handles the provisioning while you stay focused on your actual work.

What This Actually Solves

Infrastructure as Conversation: Manage Redis Cloud resources through natural language instead of point-and-click interfaces or memorizing API endpoints.

Context-Aware Provisioning: Claude understands your application requirements and can recommend appropriate Redis configurations, regions, and modules based on your use case.

Unified Operations: Monitor deployment status, check subscription limits, and troubleshoot issues without leaving your development environment.

Real-World Implementation

Quick Infrastructure Queries

"What are my current Redis subscriptions and their memory usage?"
"Show me all running tasks and their status"
"List available Redis modules for machine learning workloads"

Smart Provisioning

"I need a Redis instance for session storage in my Node.js app. 
What's the most cost-effective setup for 10k concurrent users?"

"Create a Redis database with persistence enabled in the closest 
AWS region to my application servers in us-west-2"

Operational Troubleshooting

"Why is my Redis deployment taking so long? Check the task status"
"Compare the pricing between Essential and Pro plans for my workload"
"Help me set up Active-Active deployment across three regions"

Features That Actually Matter

Complete Account Management: Check payment methods, subscription limits, and account status without opening the Redis Cloud console.

Multi-Tier Provisioning: Create both Essential (cost-effective) and Pro (enterprise-grade) subscriptions with appropriate configurations for your use case.

Module Intelligence: Claude knows which Redis modules (search, JSON, TimeSeries, etc.) work best for different application patterns.

Task Monitoring: Track long-running operations like database provisioning and configuration changes with real-time status updates.

Multi-Cloud Deployment: Provision across AWS, GCP, and Azure with region-aware recommendations based on your infrastructure.

Integration That Makes Sense

Claude Desktop Setup

npm run build

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-redis-cloud": {
      "command": "node",
      "args": ["--experimental-fetch", "/path/to/dist/index.js"],
      "env": {
        "API_KEY": "your_redis_cloud_api_key",
        "SECRET_KEY": "your_redis_cloud_secret_key"
      }
    }
  }
}

Docker Deployment

docker build -t mcp/redis-cloud .
docker run -i --rm \
  -e API_KEY=your_api_key \
  -e SECRET_KEY=your_secret_key \
  mcp/redis-cloud

Why This Approach Works

Instead of learning another CLI tool or bookmarking Redis Cloud documentation, you get infrastructure management that understands context. Ask about performance optimization, get specific Redis configurations. Need to scale up? Claude knows your current setup and can recommend the right upgrade path.

The MCP server exposes Redis Cloud's full API through conversational tools, so you're not losing functionality—you're gaining intelligence about how to use it effectively.

Repository: redis/mcp-redis-cloud License: MIT Requirements: Node.js 18+, Redis Cloud API credentials

Get started in under 5 minutes. Your Redis infrastructure decisions just got a lot smarter.