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Turn 100+ Jira Software Cloud APIs into typed AI-callable project tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Dynamic Jira Software Cloud MCP Server" yet — see the docs or source repo.
Using the Jira Software Cloud MCP Server, list the last three sprints in my project with their start and end dates, then summarize how many issues in each sprint are In Progress and Done.
A summary of the latest three sprints, including key dates and issue status counts for each.
Create five Jira issues for a new release: requirement review, development, self-testing, acceptance, and launch prep. Set priority to Medium, assign them to specified team members, and add the shared label release-2025-q2.
A summary of the five created issues, including issue keys, titles, assignees, and labels.
Fetch all issues in the current active sprint, group them by assignee, calculate total issues, completed issues, and blockers, and produce a concise progress report suitable for a weekly meeting.
A sprint progress report organized by assignee, including completion status and blocking risks.
Manage Jira Cloud projects, issues, sprints, and bugs through AI workflows.
Let AI work with Jira Cloud to query issues, comment, and find users.
Let AI read and update Jira issues, sprints, projects, and metrics.
Connect Jira Cloud to manage projects, boards, issues, and time tracking.
Manage Jira Cloud projects, issues, sprints, and releases using natural language.
Manage Jira Cloud projects, issues, sprints, and worklogs from AI clients.