AIops-tools/Queue-AIops
by Various
Governed AI-ops for redis + rabbitmq: memory-pressure/latency/queue-backlog/connection-churn RCAs, s
MCP
AIops-tools/Queue-AIops
Added 15 Oct 2026
Overview
Queue-AIops is a Python tool for governed AI operations on Redis and RabbitMQ. It performs root cause analyses for memory pressure, latency, queue backlog, and connection churn.
Best for
Best for
Developers operating Redis and RabbitMQ who want AI-assisted root cause analysis
Use cases
- Diagnose Redis memory pressure
- Investigate RabbitMQ queue backlog
- Analyze connection churn events
How to use
Install
uvx --from queue-aiops queue-aiops-mcpTools exposed
queue_overviewredis_server_inforedis_memory_statsredis_clientsredis_slowlogredis_config_getredis_keyspaceredis_big_keysrabbitmq_overviewlist_queuesqueue_detaillist_connectionslist_channelslist_policiesnode_healthredis_memory_pressure_rcaredis_latency_rcarabbitmq_queue_backlog_rcaconnection_churn_analysisredis_config_set
Clients listed in this record (not verified here)
Claude Code, OpenClaw
Example client config
{
"mcpServers": {
"queue-aiops": {
"command": "uvx",
"args": [
"--from",
"queue-aiops",
"queue-aiops-mcp"
],
"env": {
"QUEUE_AIOPS_MASTER_PASSWORD": "your-master-password"
}
}
}
}Notes
0 stars on GitHub. Last updated 2026-10-15. Licensed MIT.
Pros
- Covers multiple common Redis and RabbitMQ failure modes
- Open source with a Python codebase
- Aims for governed AI-ops rather than unconstrained automation
Cons
- No GitHub stars yet, indicating limited adoption
- Project description is incomplete or truncated
- Vendor listed as Various, so support and maintenance are unclear
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