Redis MCP
The official Redis MCP server enables AI models to interact with Redis key-value stores. It provides tools for managing keys, executing Redis commands, and monitoring cache performance. This integration is essential for developers who want to use AI to manage application state, cache data, and automate real-time data processing with Redis.
How to Install
1. Ensure you have an MCP client installed (e.g., Claude Desktop)
2. Click 'Visit Source' below to get the code or package
3. Follow the README instructions in the project
4. Add the server configuration to your MCP client config file
Configuration Example (claude_desktop_config.json)
{
"mcpServers": {
"redis": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-redis"
],
"env": {
"REDIS_URL": "redis://localhost:6379"
}
}
}
}Key Features
Complete key-value management (SET, GET, DEL, etc.)
Support for Redis data structures (Lists, Sets, Hashes)
Real-time monitoring and statistics retrieval
Support for both local and cloud Redis instances
Server Details
The official Redis MCP server enables AI models to interact with Redis key-value stores. It provides tools for managing keys, executing Redis commands, and monitoring cache performance. This integration is essential for developers who want to use AI to manage application state, cache data, and automate real-time data processing with Redis.
Visit Source / Official Link
Go to the official repository for source code, docs, and installation.
GitHub