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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.
Connect Jira with AI assistants for search, ticket analysis, and workflow automation.
Manage Jira Cloud projects, issues, boards, and workflows using natural language.
Let AI work with Jira Cloud to query issues, comment, and find users.
Use natural language to manage Jira issues and Confluence pages faster.