antonio-mello-ai/mcp-redis-monitor

Overview

A minimal MCP server that wraps redis-monitor, allowing AI agents to query Redis server metrics and activity. It exposes monitoring commands through the Model Context Protocol for integration with compatible clients.

Best for

Best for
Developers experimenting with MCP-based monitoring agents for Redis

Use cases

• Check Redis server health and uptime from an AI agent
• Monitor real-time command throughput and latency
• Alert on slow queries or connection issues via agent workflows

Notes

A minimal MCP server that wraps redis-monitor, allowing AI agents to query Redis server metrics and activity. It exposes monitoring commands through the Model Context Protocol for integration with compatible clients.

2 stars on GitHub. Last updated 2026-06-04. Licensed MIT.

Use cases

• Check Redis server health and uptime from an AI agent
• Monitor real-time command throughput and latency
• Alert on slow queries or connection issues via agent workflows

Pros

• Lightweight Python implementation with few dependencies
• Direct integration with MCP-compatible AI tools
• Provides real-time Redis monitoring data on demand

Cons

• Very early stage with only 2 GitHub stars and limited community
• No documentation beyond the repository description
• Requires a running Redis instance and manual setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.