REDIS MCP Server

What is REDIS-MCP-Server

REDIS-MCP-Server is a powerful implementation of the Redis Model Context Protocol (MCP) developed by GongRzhe. It acts as a bridge, enabling Language Learning Models (LLMs) to interact with Redis databases seamlessly. By utilizing a standardized set of tools, this server allows AI systems to manage and manipulate Redis key-value stores efficiently. The integration of MCP means it can securely connect with various data sources, providing real-time access and management capabilities essential for AI applications.

How to Use REDIS-MCP-Server

To use the REDIS-MCP-Server, you can either install it via Smithery or manually. Here’s how you can get started:

Installing via Smithery

You can quickly install the server for Claude Desktop using the Smithery CLI:

npx -y @smithery/cli install @gongrzhe/server-redis-mcp --client claude

Installing Manually

For manual installation, use the following command:

npx @gongrzhe/server-redis-mcp@1.0.0 redis://your-redis-host:port

For a global installation, use:

npm install -g @gongrzhe/server-redis-mcp@1.0.0

After installation, you can run the server using the globally installed package.

Configuration

To configure the server with Claude Desktop, modify the claude_desktop_config.json file by adding the MCP server details under the "mcpServers" section.

Using Docker

For Docker users, you can specify the Redis URL as an argument. This is particularly useful for macOS users where the Redis server runs on the host network:

docker run -i --rm mcp/redis redis://host.docker.internal:6379

Key Features of REDIS-MCP-Server

REDIS-MCP-Server offers several key features that make it a versatile tool for interacting with Redis databases:

• Standardized Tools: Provides a suite of 62 MCP tools for interacting with Redis, ensuring consistent and efficient operations.

• Basic Operations: Includes fundamental Redis operations like set, get, delete, and list.

  • Set: Store a key-value pair with an optional expiration time.
  • Get: Retrieve the value associated with a specific key.
  • Delete: Remove one or more keys from the database.
  • List: Retrieve keys matching a certain pattern.

• Seamless Integration: Easily integrates with AI systems like Claude, enabling real-time data access and manipulation.

• Flexible Installation: Can be installed via various methods including Smithery, manual installation, and Docker, catering to different user preferences and environments.

• Security and Protocol Standards: Built on the Model Context Protocol (MCP) framework, ensuring secure and standardized communication between AI models and data sources.

With these features, REDIS-MCP-Server empowers users to leverage Redis databases efficiently, making it an essential tool for developers and AI practitioners seeking robust data interaction capabilities.