Gongrzhe REDIS MCP Server
The Redis MCP server is a server that implements the Redis Model Context Protocol, allowing LLMs to interact with Redis key - value storage through standardized tools.
rating : 2 points
downloads : 6.7K
What is Redis MCP Server?
Redis MCP Server is a bridge service that allows artificial intelligence models like Claude to interact with Redis databases through a standardized toolset. It simplifies AI operations on key - value storage without the need to directly handle complex database connections.How to use Redis MCP Server?
Simply deploy the service through simple installation commands and then configure the connection in the AI tool. The service will automatically convert the AI's natural language instructions into Redis operation commands.Applicable scenarios
Suitable for scenarios where AI needs to access structured storage, such as user session data management, real - time configuration updates, cache operations, and other AI applications that require persistent storage.Main features
Basic CRUD operations
Provides basic Redis operation functions such as set, get, delete, and list.
Key name pattern matching
Supports using wildcard patterns to find a list of matching key names, facilitating batch operations.
Automatic expiration setting
Allows setting an expiration time when storing key - value pairs to automatically clean up expired data.
Advantages
Ready to use without writing complex data access code
Standardized interface specifications, compatible with different AI models
Supports multiple deployment methods (Docker/npm/global installation)
Lightweight design with low resource consumption
Limitations
Currently only supports basic key - value operations and does not support advanced Redis features
Requires pre - configuration of Redis connection information
Performance is limited by network latency
How to use
Install the service
Choose an installation method suitable for your environment
Configure the AI client
Add MCP server settings to the AI tool configuration file
Start using
Use natural language to operate Redis directly in the AI conversation
Usage examples
User session management
Store and retrieve user session data
Configuration cache
Cache frequently accessed configuration information
Batch cleanup
Delete expired temporary data by pattern
Frequently Asked Questions
Do I need to install Redis in advance?
Does it support Redis clusters?
How to ensure connection security?
How about the performance?
Related resources
Official GitHub repository
Source code and latest version
Redis official documentation
Complete documentation for the Redis database
MCP protocol specification
Technical specification for the Model Context Protocol

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