This Jira MCP server, developed using TypeScript and the Model Context Protocol SDK, provides AI assistants with a standardized interface to interact with Jira's REST API. It offers tools for managing issues, including creation, listing, updating, and deletion, as well as adding comments. The server abstracts the complexities of Jira's API, handling authentication and request formatting. It's particularly valuable for AI systems focused on project management and issue tracking, enabling use cases such as automated task creation, status updates, and project overview generation. The implementation includes error handling for common Jira-specific scenarios and formats issue information for easy consumption by AI assistants.
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Creates a new Jira issue. Required parameters: working_dir (Directory containing .jira-config.json), summary (Issue title), description (Issue description), type (Issue type: Task, Epic, or Subtask)
Lists issues in the project. Required parameters: working_dir (Directory containing .jira-config.json). Optional parameters: status (Filter by status: e.g., 'To Do', 'In Progress', 'Done')
Updates an existing issue. Required parameters: working_dir (Directory containing .jira-config.json), issue_key (Issue key: e.g., PRJ-123). Optional parameters: summary (New title), description (New description), status (New status)
Gets detailed information about a specific issue. Required parameters: working_dir (Directory containing .jira-config.json), issue_key (Issue key: e.g., PRJ-123)
Deletes a Jira issue. Required parameters: working_dir (Directory containing .jira-config.json), issue_key (Issue key: e.g., PRJ-123)
Adds a comment to an existing issue. Required parameters: working_dir (Directory containing .jira-config.json), issue_key (Issue key: e.g., PRJ-123), comment (Comment text to add)
