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Connect Jira with AI assistants for search, ticket analysis, and workflow automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "jira-analysis-mcp" yet — see the docs or source repo.
Connect to Jira and find all blocked or overdue tickets in the current sprint. Group them by assignee and summarize the cause, impact, and recommended handling order for each blocker.
A blocker analysis grouped by assignee, including priorities, risk notes, and recommended actions.
Search Jira for historical tickets related to "login failure," "OAuth," and "token expiration." Identify repeated issues, common root causes, and previously used fixes, then summarize them for me.
A summary of related past tickets highlighting recurring patterns, root-cause categories, and reusable solutions.
Based on Jira tickets for the upcoming release, analyze open bugs, high-risk tasks, dependencies, and assignee distribution, then produce a release risk overview with recommendations.
A pre-release risk report with key risks, dependency warnings, and a recommendation on whether to release on schedule.
Connect AI to Jira for issue, project, agile, and search workflows.
Use AI to query, create, and manage Jira issues through Jira CLI.
Let AI manage Jira issues, transitions, updates, and bulk project operations.
Manage Jira Cloud projects, issues, boards, and workflows using natural language.
Connect Jira Cloud to manage projects, boards, issues, and time tracking.
Let AI work with Jira Cloud to query issues, comment, and find users.