- TRIAGE
- DIAGNOSIS
- RECOVERY
- HUMAN
Short answer
How do I debug and retry failed webhooks with my AI?
Your agent pulls error logs from Zeplo, inspects the specific request data, and re-enqueues the job once you've identified the fix. You'll get a clear breakdown of what went wrong and how to fix it.
Error outcomes.
Where every issue lands.
The AI categorizes your queue issues into these four outcomes.
TRIAGE
Identify failed requests
The agent scans your logs to find requests that hit 4xx or 5xx errors. You get a list of exactly what failed.
DIAGNOSIS
Inspect request payloads
The agent fetches the specific body and headers of a failed job. You can see if the payload was malformed or if the endpoint was down.
RECOVERY
Trigger immediate retries
The agent pushes the request back into the queue. This lets you retry the job without touching a dashboard.
HUMAN
Manual intervention needed
If the error is due to a logic flaw in your code, the agent flags it. You decide when to fix the source instead of just retrying.
The workflow
What your AI does when a webhook fails.
The agent moves from detection to execution using your Zeplo queue.
Scan for errors
The agent looks through your recent activity to find any requests that didn't complete successfully.
list_queue_logsAnalyze the failure
The agent pulls the full details of a specific failed job to see the status code and response body.
get_requestFix the payload
If you tell the agent to modify the data, it prepares a corrected version of the original request.
get_requestExecute the retry
The agent sends the corrected or original request back into the queue to attempt delivery again.
enqueue_request
Try it
Copy these to start.
Use these prompts to begin debugging with your agent.
Starting points
These are opening lines. Swap out the specific queue names or request IDs with your own data.
Zeplo Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_5Sj7Y435YhL7etC5VxbdO9r2LKHpV7HuKFTmESFi/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Zeplo capabilities are ready to use.
{
"mcpServers": {
"zeplo-queue-background-job-api-mcp": {
"url": "https://edge.vinkius.com/vk_preview_5Sj7Y435YhL7etC5VxbdO9r2LKHpV7HuKFTmESFi/mcp"
}
}
}Show me the last 10 failed requests in my 'webhooks-prod' queue.
Get the details for request ID 'req_12345' and tell me why it failed.
Retry the failed request from the 'notifications' queue using the original payload.
Find all 500 errors in my queue from the last hour and list them.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Zeplo once, then ask.
One connection gives your agent access to your entire Zeplo queue. Your credentials stay encrypted and secure on our side.
Connect Zeplo to your AIFAQ
How this task behaves.
- 01
Can the AI delete failed requests from my queue?
No. The agent can only list, get, or enqueue requests. It cannot delete logs or jobs.
- 02
Can the AI change my Zeplo account settings?
No. The agent only interacts with the queue data through the provided tools.
- 03
Does the AI automatically retry every failure?
No. The agent identifies the failures, but you must tell it to retry a specific request.
- 04
Can I see the exact error message from the destination server?
Yes. The agent can pull the response body of a failed request to show you the error.
- 05
Can the AI create new queues?
No. The agent can only work with the queues and requests already present in your Zeplo account.
More questions about Zeplo? The Connector page answers them. See everything the Zeplo Connector can do
Connect Zeplo to Claude, Cursor, ChatGPT & more
