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MCP server for redis-monitor
FastMCP server providing read-only tools to monitor Redis instances.
# Run directly with uvx (no install needed)
uvx mcp-redis-monitor
# Or install with pip
pip install mcp-redis-monitor
| Variable | Default | Description |
|---|---|---|
REDIS_MONITOR_HOST | localhost | Redis host |
REDIS_MONITOR_PORT | 6379 | Redis port |
REDIS_MONITOR_PASSWORD | (none) | Redis password (optional) |
| 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) |
mcp-redis-monitor
Or add to your MCP client configuration:
{
"mcpServers": {
"redis-monitor": {
"command": "mcp-redis-monitor"
}
}
}
ruff check src/ tests/
ruff format src/ tests/
pytest
MIT
A Jetbrains IDE IntelliJ plugin aimed to provide coding agents the ability to leverage intelliJ's indexing of the codeba
MCP server integration for DaVinci Resolve Studio
Run Claude Code as an MCP server so any agent can delegate coding tasks to it