antonio-mello-ai/mcp-redis-monitor

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🐍 🏠 - Read-only Redis monitoring — queue depths by type, Celery queue status, connected clients, server/memory stats, and key counts per database. 5 tools, built with FastMCP. Install: uvx mcp-redis-monitor.

Quick Install

One-Click IDE Configuration
claude_desktop_config.json
{
  "mcpServers": {
    "antonio-mello-ai-mcp-redis-monitor": {
      "command": "npx",
      "args": [
        "-y",
        "antonio-mello-ai-mcp-redis-monitor"
      ]
    }
  }
}
Or

Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.

Documentation Overview

mcp-redis-monitor

FastMCP server providing read-only tools to monitor Redis instances.

Install

# Run directly with uvx (no install needed)
uvx mcp-redis-monitor

# Or install with pip
pip install mcp-redis-monitor

Environment Variables

VariableDefaultDescription
REDIS_MONITOR_HOSTlocalhostRedis host
REDIS_MONITOR_PORT6379Redis port
REDIS_MONITOR_PASSWORD(none)Redis password (optional)

Tools

ToolDescription
get_queue_depthsKeys + length by type in a specific DB (default: 3)
get_celery_queue_statusCelery queue names, pending count, oldest task
get_connected_clientsNumber of connected clients
get_server_infoMemory, uptime, keyspace stats
get_key_count_by_dbKeys per database (overview)

Usage

mcp-redis-monitor

Or add to your MCP client configuration:

{
  "mcpServers": {
    "redis-monitor": {
      "command": "mcp-redis-monitor"
    }
  }
}

Development

ruff check src/ tests/
ruff format src/ tests/
pytest

License

MIT

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Last checked: 7/28/2026, 12:26:56 PM

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