Gongrzhe REDIS MCP Server
G

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.
2 points
8.0K

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

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "redis": {
      "command": "npx",
      "args": [
        "@gongrzhe/server-redis-mcp@1.0.0",
        "redis://localhost:6379"
      ]
    }
  }
}

{
  "mcpServers": {
    "redis": {
      "command": "node",
      "args": [
        "path/to/build/index.js",
        "redis://10.1.210.223:6379"
      ]
    }
  }
}

{
  "mcpServers": {
    "redis": {
      "command": "docker",
      "args": [
        "run", 
        "-i", 
        "--rm", 
        "mcp/redis", 
        "redis://host.docker.internal:6379"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
8.4K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
10.6K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.6K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.9K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
12.5K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
10.1K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
9.2K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
19.1K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
56.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
29.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
16.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
25.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
52.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.8K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
77.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase