AI Agent for Redis Cloud API
Effortlessly manage your Redis Cloud resources using natural language. Leverage the Model Context Protocol (MCP) server for Redis Cloud API to perform account, subscription, and database management through intuitive AI-powered commands. Simplify workflows, monitor tasks, and optimize your cloud infrastructure with seamless integration into Claude Desktop, Cursor IDE, and more.
Natural Language Redis Cloud Management
Transform how you control Redis Cloud with an MCP server that interprets natural language prompts. Create databases, manage accounts, and handle subscriptions without manual dashboards or complex scripting—just ask and your AI agent takes care of the rest.
- Account Management.
- Retrieve detailed information about your Redis Cloud account and payment methods using a simple conversational interface.
- Subscription Management.
- Create, list, and configure Pro or Essential subscriptions across multiple cloud providers, with support for advanced deployment options.
- Database Control.
- Easily create new databases, manage modules, and access performance features all through natural language commands.
- Cloud Region Flexibility.
- Choose regions and cloud providers (AWS, GCP, Azure) for deployments with full access to networking and availability options.
Task Tracking & Automated Operations
Monitor deployment status, track ongoing subscription changes, and view real-time task progress directly within your preferred development environment. The MCP server streams updates for all long-running operations, ensuring full transparency and control.
- Real-Time Task Monitoring.
- Keep tabs on deployments and other long-running tasks with instant feedback and detailed progress reports.
- Subscription Change Tracking.
- Monitor any modifications to cloud subscriptions and receive updates directly in your workflow.
- Seamless IDE Integration.
- Integrates effortlessly with Claude Desktop, Cursor IDE, and development tools for unified management.
Developer-First & Production-Ready
Deploy the Redis Cloud MCP server locally or in Docker, and integrate with your CI/CD pipelines or development environments. Built for engineers, this solution is ready for production workloads with robust security and flexible extensibility.
- Docker & Local Deployment.
- Run the MCP server anywhere—locally, in containers, or as part of your devops workflow.
- Secure API Access.
- Authenticate with Redis Cloud using API keys and secrets for safe and compliant operations.
MCP INTEGRATION
Available Redis Cloud MCP Integration Tools
The following tools are available as part of the Redis Cloud MCP integration:
- get_current_account
Get details about your current Redis Cloud account.
- get_current_payment_methods
List all payment methods configured for your account.
- get_pro_subscriptions
List all Pro subscriptions in your account.
- create_pro_subscription
Create a new Pro subscription with advanced configuration options.
- get_essential_subscriptions
List all Essential subscriptions (paginated).
- get_essential_subscription_by_id
Get detailed information about a specific Essential subscription.
- create_essential_subscription
Create a new Essential subscription.
- delete_essential_subscription
Delete an Essential subscription.
- get_database_modules
List all available database modules (capabilities) supported in your account.
- get_pro_plans_regions
Get available regions across cloud providers for Pro subscriptions.
- get_essentials_plans
List available Essential subscription plans (paginated).
- get_tasks
List all current tasks in your account.
- get_task_by_id
Get detailed information about a specific task.
Manage Redis Cloud with Natural Language
Easily control your Redis Cloud resources using natural language commands. Integrate with Claude Desktop or Cursor IDE and streamline account, subscription, and database management.
What is Redis Cloud
Redis Cloud, developed by Redis, is a fully managed cloud service offering the fastest and most feature-rich Redis experience on the market. Redis Cloud enables businesses and developers to deploy scalable, enterprise-grade, in-memory databases with sub-millisecond latency, 99.999% availability, and advanced data structures. Integrated with major cloud platforms such as AWS, Google Cloud, and Microsoft Azure, Redis Cloud supports caching, session management, real-time analytics, vector search, and AI applications. It provides production-ready environments in just a few clicks, robust data persistence, hybrid and multi-cloud capabilities, and built-in security to meet regulatory compliance like SOC 2, PCI, HIPAA, and GDPR. Redis Cloud is trusted by global enterprises including Nike, Adobe, and British Airways for mission-critical workloads and next-generation AI-powered apps.
Capabilities
What we can do with Redis Cloud
Redis Cloud provides a robust platform to build, scale, and operate real-time applications and AI workloads. Its flexible, managed environment supports a broad range of use cases while ensuring high performance and reliability.
- Effortless Scaling
- Instantly scale Redis clusters across multiple cloud providers and regions without downtime.
- Real-time Data Processing
- Power chatbots, recommendation engines, real-time analytics, and session stores with sub-millisecond latency.
- Enterprise Security & Compliance
- Meet demanding regulatory requirements with built-in enterprise-grade security and compliance features.
- Multi-Model Data Support
- Store and query key-value, JSON, vector, geospatial, time series, and probabilistic data seamlessly.
- AI & Vector Search
- Build high-performance AI and GenAI applications leveraging the world’s fastest vector database and semantic cache.
How AI Agents Benefit from Redis Cloud
AI agents can leverage Redis Cloud's ultra-fast in-memory data platform to store and retrieve embeddings, context, and session states in real time. With vector search and semantic cache features, AI applications such as chatbots, recommendation engines, and semantic search tools achieve superior performance and scalability. Redis Cloud's robust uptime, multi-region deployment, and enterprise security make it a trusted backbone for AI-driven workloads.