Sentry is a step behind.
Fields in Sentry move whenever someone logs them; to when an incident fires you need confluence/notion (runbooks) fresher than that.
Build a Runbook Auto-Executor Agent withSentry, Jira, and Slack
The data for your incident review already exists in Slack / Sentry / Jira. The problem is no one view joins it. On-call engineers waste 20 minutes finding runbooks during incidents.
Sentry says one thing about Confluence/Notion (runbooks), Jira says another.
The incident review eats the gap.
The incident review eats the gap.
Jira holds what Sentry misses.
Search Confluence/Notion for matching runbooks lives in Jira, cut off from confluence/notion (runbooks), so runbook auto-executor guesses at the link.
Slack knows before you do.
Surface resolution guides in incident channel lands in Slack hours early. Too far from Sentry to change the incident review in time.
Under The Hood
Ask once. Runbook auto-executor reads Sentry, Jira, and Slack for you. Already connected.
01
Query when an incident fires from Sentry (engineering stack)
Confluence/Notion (runbooks)
02
Read search Confluence/Notion for matching runbooks from Jira (project tracker)
Incident.io (incidents)
03
Check surface resolution guides in incident channel from Slack (comms layer)
Sentry (errors)
output
Agent-ready output
One readout: When an incident fires, search Confluence/Notion for matching runbooks, surface resolution guides in incident channel, track steps completed, create follow-up Jira tickets. Ranked by priority, top risks flagged, a next step on each.
The Context Store
Confluence/Notion (runbooks) and the rest of Slack / Sentry / Jira, already one record.
Airbyte folds Slack / Sentry / Jira and 3 more into the Context Store: Confluence/Notion (runbooks), Incident.io (incidents), Sentry (errors), Slack (incident channel), Jira (follow-ups) land in one schema, joined on a shared incident key, so runbook auto-executor never touches a raw your engineering stack endpoint.
Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.
PRE-JOINED INCIDENTUNIFIED SCHEMAONE API SURFACE
The Prompt
Copy. Paste.
a Runbook Auto-Executor Agent
Two steps. Your data, your results, under 60 seconds.
01install
Connect the Airbyte Agent MCP02copy and run
Run my incident review: pull Confluence/Notion (runbooks), Incident.io (incidents), Sentry (errors), Slack (incident channel), Jira (follow-ups) from Sentry, Jira, and Slack and summarize.
SETUP
Airbyte's MCP is connected to 6+ systems; query them directly, no API code.
WORKFLOW
list connectors -> link Sentry, Jira, and Slack -> pull Confluence/Notion (runbooks), Incident.io (incidents), Sentry (errors), Slack (incident channel), Jira (follow-ups) -> join on the incident key -> analyze. An unlinked tool returns a self-describing prompt; a single OAuth click and retry.
TASK
When an incident fires, search Confluence/Notion for matching runbooks, surface resolution guides in incident channel, track steps completed, create follow-up Jira tickets, then give me a single readout: sorted by what needs me first, each line with the why and the move.The Outcome
The incident review that needed 3 hours now finishes while you read this. Now your agent can fix it.
10x
Faster
10x faster. Runbook auto-executor does in seconds what ate 3 hours of when an incident fires.
90%
Cheaper to run
90% off the build cost: 6 sources already licensed, nothing extra to when an incident fires.
3 -> 1
Tools, one query
3 sources, 1 prompt: Sentry, Jira, and Slack reconciled before runbook auto-executor runs.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Ranked, not dumped
A 1-10 score on each incident means the urgent Confluence/Notion (runbooks) rises to the top of runbook auto-executor on its own.
02 · Signal
Mismatch alerts
Any conflict between your engineering stack and your project tracker on Confluence/Notion (runbooks) is raised for review rather than silently smoothed over.
03 · Context
Inline evidence
Search Confluence/Notion for matching runbooks from Jira and Slack sits beside each item, letting you when an incident fires without switching tabs.
04 · Action
Next action per item
Every row ends in a move: runbook auto-executor tells you the owner and the move.
05 · Brief
Readout-ready
Hand the readout straight to the incident review. Every figure traces back to Sentry, Jira, and Slack.
After Runbook Auto-Executor: more engineering agents to build
view All use casesDeploy Risk Assessment Agent
Engineering teams run incident reviews on stale, scattered data: Amplitude + GitHub + Linear each hold a piece, none hold the whole. Large deploys to critical services need scrutiny.
Candidate background check Agent
Your incident review is only as fresh as the slowest tab. Background checks take 3-5 days. Yet the inputs sit split across Ashby + Greenhouse.
Searchable Database Creation
Right now the incident review means stitching HubSpot + Salesforce by hand. Making data searchable enables self-service, so the work lands late and half-blind.
Common questions
Didn't find your answer? Please don't hesitate to reach out.
How fresh is the incident data Runbook Auto-Executor uses?
Live, it reads Sentry at query time, so the readout shows Confluence/Notion (runbooks) as of now, not last night.
Can Runbook Auto-Executor run on a schedule?
Yes, schedule it and the readout arrives before the incident review starts, so when an incident fires happens hands-free.
What does Runbook Auto-Executor cost to run?
It rides the 6 connectors you already license. No seats, no glue code, no infra to when an incident fires.
How do I build a runbook auto-executor agent with Sentry, Jira, and Slack?
Link Sentry, Jira, and Slack in the Agent MCP, paste the prompt above, and runbook auto-executor reads all 6 sources at once to when an incident fires.
Slack / Sentry / Jira are connected. Point runbook auto-executor at them.
51+ connectors including Sentry, Jira, and Slack are ready. Give runbook auto-executor the access to when an incident fires.
