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Connect Jira Service Management to handle requests, approvals, customers, and SLA workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "jira-service-desk-mcp" yet — see the docs or source repo.
Connect to my Jira Service Management instance, list all high-priority requests created today, summarize them by queue, and add comments to tickets missing key details asking for environment info, screenshots, and reproduction steps.
A list of high-priority requests, a queue-based summary, and standardized comments added to incomplete tickets.
Check all service requests pending approval and close to SLA breach, list the assignee, remaining time, and customer details, then draft a follow-up message for approvers.
A list of approval tickets nearing SLA breach, plus a ready-to-send follow-up message.
Summarize all requests submitted this week by customer organization, including counts, status distribution, and common issues; include related attachments and latest comments in a weekly report summary.
A weekly service request report by organization with status metrics, issue summaries, and attachment/comment highlights.
Connect to self-hosted Jira to manage issues, comments, search, and workflows.
Connect AI to Jira for issue, project, agile, and search workflows.
Let AI work with Jira Cloud to query issues, comment, and find users.
Access cleaned Jira project data and relationships for AI analysis and collaboration.
Manage Jira Cloud projects, issues, sprints, and worklogs from AI clients.
Let AI read and update Jira issues, sprints, projects, and metrics.