Planned

Pipe

Message Queues

Give Claude visibility into your queues. AI monitors throughput, identifies bottlenecks, and keeps messages flowing.

Before

How Claude sees your app today

C
Claude
Y

You

Email sending is delayed. Is there a backup in the email queue?

C

I can't see your message queues—no visibility into Redis, RabbitMQ, or SQS.

You'll need to check your queue dashboard or run CLI commands.

After

How Claude sees your app with Pipe

C
Claude
Pipe connected
Y

You

Email sending is delayed. Is there a backup in the email queue?

C

Using pipe.queue_stats

pipe.queue_stats(queue: "email")

Queue Status: email

Depth: 4,832 messages (backed up)

Process rate: 50/min (normal: 500/min)

Oldest message: 2h 15m ago

Worker status: 1 of 5 healthy

Bottleneck found: 4 email workers crashed. Processing at 10% capacity. Restarting workers now...

The Tools AI Uses

Available via MCP (Model Context Protocol)

pipe.queue_stats(queue)

"How backed up is email?"

pipe.enqueue(queue, message)

"Add this to the queue"

pipe.dead_letter_count()

"How many failed messages?"

pipe.purge_queue(queue)

"Clear the stuck queue"

Coming Soon

We're building Pipe as part of Phase 2. Follow along to get early access.