Head to head
Queue AIops vs MCP
Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.
Queue AIops
Aio.github.AIops-tools/queue-aiopsNo reviews yet
Governed redis + rabbitmq ops: memory/latency/backlog/churn RCA, policies. 28 tools.
Full listingNo reviews yet
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. Both score close on the safety scan (91 and 90 out of 100). MCP has noticeably more public adoption.
| Queue AIops | MCP | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | A91/100 | A90/100 |
| Adoption | Growing | Established |
| GitHub stars | 0 | 12k |
| Downloads / week | 595 | – |
| Runs where | Your machine (local) | Your machine (local) |
| Gateway-ready | No | No |
| Tools | 29 | — |
| Write actions | 4 | — |
| Price per call | Free | Free |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-09-16 | 2026-09-23 |
| Category | Databases | Databases |