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Let AI coding assistants create, search, and update Jira tickets directly.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Jira MCP" yet — see the docs or source repo.
Based on the following error details, create a Jira bug ticket titled "Login API returns 500" and include reproduction steps, logs, and impact scope.
The AI creates a Jira bug ticket directly and returns the ticket ID or creation result.
Search Jira for all unfinished tickets assigned to me and list them by priority.
The AI returns a filtered list of Jira tickets for quick review of current tasks.
Move JIRA-123 to In Progress and add this comment: API investigation is complete, and the database connection issue is being fixed.
The AI updates the ticket status, posts the comment, and returns the operation result.
While chatting with AI in Claude Desktop, Cursor, or VS Code, developers can create, read, and update Jira tickets directly. This reduces context switching and keeps task management inside the development workflow.
Team members can ask the assistant to search Jira tickets, inspect details, and add comments in a more natural workflow. It fits day-to-day status checks and ticket follow-up.
When task status changes, users can ask the assistant to move Jira tickets and update their contents directly. This helps keep project boards and collaboration records up to date.
It is a one-click Jira integration for AI coding tools. Through the assistant, users can directly create, read, update, move, comment on, and search Jira tickets.
The provided information mentions Claude Desktop, Cursor, and VS Code. For support of additional clients, see the source repository.
The description explicitly supports creating, reading, updating, moving, commenting on, and searching Jira tickets. For detailed field coverage or permission requirements, see the source repository.
Enable AI assistants to search, create, and manage JIRA issues with JQL.
Let AI manage Jira issues, transitions, updates, and bulk project operations.
Connect to Jira conversationally to query issues, log work, comment, and run JQL.
Let AI read and update Jira issues, sprints, projects, and metrics.
Connect AI clients to Jira for tickets, sprints, and issue details.
Connect Jira ticket context to AI chat for more accurate coding assistance.