Search Jira issues using JQL queries to find specific tickets by project, status, assignee, or custom criteria. Returns issue keys and titles for quick identification.
Analyze failed tests in Zebrunner launches to identify root causes, group similar errors, and generate Jira tickets with recommendations for efficient debugging.
Enables AI models to interactively prompt users for input or clarification directly through their code editor. It facilitates real-time communication between assistants and users during development tasks.
Enables AI assistants to create tickets and worklog entries in REI3 ticket management systems through the REI3 Tickets API. Supports secure authentication and provides natural language interface for ticket operations.
Search Jira issues using JQL queries to find specific tickets, filter results by criteria, and retrieve relevant issue data for project tracking and management.
Retrieve Jira issues by submitting a JQL query to filter and fetch specific results, with options to limit the number of returned entries using the Jira MCP Server.
Bulk create Jira issues using field dictionaries for multiple entries. Specify issue types like 'Bug', 'Task', or 'Story' as per your Jira instance, and optionally reload created issues.
Query Jira issues using JQL syntax to find tickets by status, priority, or custom fields within specified projects. Returns formatted lists for automated workflows and AI agent integrations.