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Give AI read-only Jira Cloud access for projects, sprints, issues, and JQL.
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.
Connect to Jira and list the projects I can access. Then summarize each project's active sprint name, dates, and number of unfinished issues.
A project list plus a concise summary of active sprint details for quick status review.
Fetch details for ISSUE-123 from Jira, including title, status, priority, assignee, created date, and latest comments, then summarize the current progress.
Structured issue data with a brief progress summary for easier follow-up or reporting.
Use JQL to find issues from the last two weeks that are Blocked or high-priority and unresolved, group them by project, and identify the most urgent items.
Grouped search results by project, along with a shortlist of the most urgent issues.
Let AI work with Jira Cloud to query issues, comment, and find users.
Enable AI assistants to search, create, and manage JIRA issues with JQL.
Let AI read and update Jira issues, sprints, projects, and metrics.
Manage Jira epics, tasks, and sprints directly from AI workflows.
Access cleaned Jira project data and relationships for AI analysis and collaboration.
Connect AI to Jira for issue, project, agile, and search workflows.