antonio-mello-ai/mcp-redis-monitor

What it does

mcp-redis-monitor is a Model Context Protocol (MCP) server that enables AI assistants to monitor and query Redis instances in real-time. It provides comprehensive visibility into Redis operations including queue depths by type, Celery task queue status, connected client information, server and memory statistics, and key counts across databases.

How to set up

Installation is streamlined via uvx with the command: uvx mcpredismonitor. The tool is built with FastMCP, which handles the underlying MCP protocol implementation. Once installed, it connects to your Redis instance and exposes monitoring capabilities through 5 specialized tools that can be accessed by Claude, ChatGPT, or other MCP-compatible AI platforms.

Key features

• Queue depth monitoring by queue type
• Celery task queue status and metrics
• Connected clients tracking
• Server and memory statistics
• Per-database key count analysis
• Read-only access for safe monitoring
• 5 pre-built tools for common queries
• FastMCP-based implementation for reliability