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Let AI read and update Jira issues, sprints, projects, and metrics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Jira MCP Server" yet — see the docs or source repo.
After connecting to Jira, list all in-progress issues in the current sprint, group them by assignee, flag any issue not updated for more than 3 days, and produce a short weekly status update in English.
A grouped issue list by assignee, flagged stale tasks, and a ready-to-use weekly meeting update.
Using this error log, create a high-priority bug in the Jira payments project. Write a concise title, include reproduction steps, impact, and suggested investigation direction, then assign it to the backend owner.
A newly created Jira bug ticket with complete fields, clear description, and assigned owner.
Summarize the past 30 days of Jira metrics: completed issues, newly created issues, unresolved bugs, and sprint completion rate, then write an executive summary in English.
Core project metrics plus a management-friendly summary of progress and risks.
Let AI manage Jira projects, boards, issues, and workflow updates.
Let AI work with Jira Cloud to query issues, comment, and find users.
Give AI read-only Jira Cloud access for projects, sprints, issues, and JQL.
Let AI manage Jira issues, transitions, updates, and bulk project operations.
Connect AI to Jira for issue, project, agile, and search workflows.
Use AI to query, create, and manage Jira issues through Jira CLI.