Search across all your Jira projects, issues, and comments. Find the ticket you need without remembering the exact key or project.
Every issue — epics, stories, bugs, tasks, and sub-tasks — is indexed with its full description, labels, components, and custom fields.
Issue comments and worklog entries are searchable. Find discussions about implementation details, blockers, and resolutions across your project history.
Documents, screenshots, and files attached to Jira issues are parsed and indexed. Search the content of attachments, not just filenames.
Use JQL queries to control which issues are indexed. Filter by project, status, date range, or any Jira field to focus your search index on relevant content.
Works with Jira Cloud and Jira Data Center. Authenticate with OAuth for Cloud or API tokens for Data Center deployments.
Only new and updated issues are re-indexed after the initial sync. Transitions, status changes, and comment edits are reflected automatically.
Authenticate your account and select the resources to index. ZenSearch handles OAuth, API keys, and enterprise SSO.
ZenSearch parses, chunks, and vectorizes your content. Incremental sync keeps everything up to date automatically.
Your team searches across all connected sources with AI-powered semantic search, chat, and agents.
Once Jira is connected, your team can ask natural-language questions and get cited answers instantly.
“What is blocking the payment gateway integration?”
ZenSearch finds the relevant epic, its blocked issues, and the latest comments explaining current blockers — synthesized into a single answer.
“How many bugs were reported for the mobile app last sprint?”
Aggregates bug-type issues from the mobile project within the sprint date range and returns a count with links to the individual tickets.
“What was the resolution for the memory leak in the worker service?”
Surfaces the bug ticket, the investigation comments, and the linked PR where the fix was merged, providing the full resolution story.