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Manage Jira stories, workflow transitions, and burndown data in self-hosted Jira.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-jira" yet — see the docs or source repo.
Create 3 stories in our self-hosted Jira project WEB: 'Optimize login page performance', 'Add operation audit logging', and 'Fix mobile navigation misalignment'. Include a short description for each, set priority to High, and return the new issue keys.
A list of created story keys, titles, key fields, and a brief creation summary.
Check the current status of Jira issue DEV-142. If it is in To Do, move it to In Progress; if it is already In Progress, move it to Done. After that, tell me what transition was performed and return the updated status.
The current status, the workflow transition performed, and the final updated status.
Retrieve the burndown data for our current Jira sprint, list remaining work by date, and summarize whether there is an obvious delivery risk. If possible, point out whether the burndown trend in the last 3 days is abnormal.
A time-ordered burndown dataset, a trend summary, and a brief assessment of schedule risk.
Let AI work with Jira Cloud to query issues, comment, and find users.
Let AI manage Jira issues, transitions, updates, and bulk project operations.
Let AI read and update Jira issues, sprints, projects, and metrics.
Connect AI to Jira for issue, project, agile, and search workflows.
Enable AI assistants to search, create, and manage JIRA issues with JQL.
Manage Jira Cloud projects, issues, boards, and workflows using natural language.