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Manage Jira Cloud projects, issues, sprints, and bugs through AI workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Jira Cloud MCP Server" yet — see the docs or source repo.
Based on the following requirements, create 8 stories in the Jira Cloud project 'Mobile App Revamp' and assign them to the next sprint by priority: login improvements, homepage redesign, notification settings, analytics tracking, performance upgrades, crash fixes, search UX, and dark mode.
Multiple Jira stories are created and assigned with priorities, sprint placement, and structured task details.
Find new customer-reported bugs in Jira Cloud from the past 7 days, classify them by severity, recommend actions, and update confirmed high-priority bugs to 'To Fix'.
Provides bug triage results and recommendations, then updates matching issue statuses automatically.
Summarize the current sprint in Jira Cloud, including counts of done, in-progress, and blocked issues, list the 5 highest-risk tasks, and draft a daily standup update for the team.
Outputs structured sprint metrics, a high-risk task list, and a ready-to-send team update.
Let AI read and update Jira issues, sprints, projects, and metrics.
Let AI work with Jira Cloud to query issues, comment, and find users.
Manage Jira Cloud projects, issues, sprints, and worklogs from AI clients.
Manage Jira Cloud projects, issues, sprints, and releases using natural language.
Let AI manage Jira issues, transitions, updates, and bulk project operations.
Connect AI to Jira for issue, project, agile, and search workflows.