AI Agent for Redis MCP
Seamlessly integrate Redis operations into your workflow with the MCP Server-Redis agent. Effortlessly manage, query, and automate Redis data using AI-powered tools for basic operations, lists, hashes, sets, and pub/sub. Enjoy fast setup, robust error handling, and automatic reconnection, making Redis management smarter and more reliable.
Effortless Redis Management
Unlock all essential Redis commands from a single AI-powered interface. Instantly perform get/set operations, manage keys, and monitor server status—no manual scripting required. Save time and reduce errors with automated, robust Redis workflows.
- Comprehensive Redis Operations.
- Run get, set, delete, increment, and pattern-based key searches—all in one place.
- Key Management.
- Efficiently list, update, and remove keys using intuitive commands and search patterns.
- Real-Time Server Status.
- Instantly check Redis connection status and server information for maximum uptime.
- Error Handling & Auto-Reconnect.
- Stay resilient with built-in error handling and automatic reconnect to Redis if connections drop.
Advanced Data Structure Support
Manage lists, hashes, and sets in Redis with dedicated tools—push and retrieve list items, manipulate hashes, and handle sets effortlessly. AI simplifies complex operations, letting you focus on results, not syntax.
- List Operations.
- Push, retrieve, and manage list elements in Redis with intuitive AI assistance.
- Hash Manipulation.
- Set and get hash fields with simple commands—ideal for structured data.
- Set Management.
- Add, list, and manage unique set members for robust, high-performance data operations.
Powerful Automation & Pub/Sub
Automate publish/subscribe operations and streamline your Redis workflows. Instantly publish messages and handle pub/sub events, all managed through a reliable AI agent. Perfect for building real-time, event-driven applications.
- Publish/Subscribe Tools.
- Easily publish messages and handle pub/sub events directly from the AI agent.
- Event-Driven Automation.
- Automate Redis messaging workflows for real-time, scalable applications.
MCP INTEGRATION
Available Redis MCP Integration Tools
The following tools are available as part of the Redis MCP integration:
- get_value
Retrieve the value of a given key from Redis, supporting all basic data types.
- set_value
Set the value of a key in Redis, with optional support for expiry.
- delete_key
Delete a specified key from Redis, removing its value.
- increment
Increment a numeric value stored at a given key in Redis.
- list_push
Push one or more values to a Redis list, supporting stack and queue semantics.
- list_range
Retrieve a range of elements from a Redis list by specifying start and end positions.
- hash_set
Set one or more fields in a Redis hash, supporting structured data storage.
- hash_get
Get the value of one or more fields from a Redis hash.
- set_add
Add one or more members to a Redis set, enabling fast membership checks.
- set_members
Retrieve all members of a given Redis set.
- publish_message
Publish a message to a Redis channel for subscribers to receive.
Connect Your Redis with FlowHunt AI
Connect your Redis to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is Redis MCP Server
The Redis MCP Server is an advanced, general-purpose implementation that provides a natural language interface for agentic applications to interact with Redis databases. Developed by Redis, the MCP (Model Context Protocol) Server enables agents to read, write, and query data in Redis using natural language, significantly simplifying integration and data management. It supports all key Redis data structures including strings, hashes, JSON documents, lists, sets, sorted sets, and vectors. The server also includes basic commands to manage the Redis server, making it a powerful tool for building intelligent applications that require dynamic and flexible data access.
Capabilities
What we can do with Redis MCP Server
With the Redis MCP Server, developers and AI agents can leverage natural language commands to interact with the full spectrum of Redis capabilities. This allows for rapid prototyping, flexible data manipulation, and seamless integration into AI-driven workflows.
- Natural Language Data Queries
- Query and manipulate Redis data using plain English commands for intuitive access.
- Multi-structure Support
- Work with Redis strings, hashes, JSON, lists, sets, sorted sets, and vector data types natively.
- Server Management
- Use built-in commands to manage server operations and configurations with ease.
- Agentic Application Integration
- Easily connect AI agents or applications to Redis for dynamic and automated data handling.
- Rapid Prototyping
- Build and test new agentic data workflows quickly without deep Redis command expertise.
How AI Agents Benefit from Redis MCP Server
AI agents can use the Redis MCP Server to interact with complex data structures and manage state using natural language, streamlining the development of intelligent and autonomous systems. By simplifying access to powerful Redis features, the MCP Server accelerates the creation of AI-driven workflows and applications.