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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

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About

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.

README

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

Variable Default Description
REDIS_MONITOR_HOST localhost Redis host
REDIS_MONITOR_PORT 6379 Redis port
REDIS_MONITOR_PASSWORD (none) Redis password (optional)

Tools

Tool Description
get_queue_depths Keys + length by type in a specific DB (default: 3)
get_celery_queue_status Celery queue names, pending count, oldest task
get_connected_clients Number of connected clients
get_server_info Memory, uptime, keyspace stats
get_key_count_by_db Keys 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

from github.com/antonio-mello-ai/mcp-redis-monitor

Installing antonio-mello-ai/mcp-redis-monitor

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/antonio-mello-ai/mcp-redis-monitor

FAQ

Is antonio-mello-ai/mcp-redis-monitor MCP free?

Yes, antonio-mello-ai/mcp-redis-monitor MCP is free — one-click install via Unyly at no cost.

Does antonio-mello-ai/mcp-redis-monitor need an API key?

No, antonio-mello-ai/mcp-redis-monitor runs without API keys or environment variables.

Is antonio-mello-ai/mcp-redis-monitor hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install antonio-mello-ai/mcp-redis-monitor in Claude Desktop, Claude Code or Cursor?

Open antonio-mello-ai/mcp-redis-monitor on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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