Scans Zendesk tickets and comments to detect leaked secrets such as API keys, tokens, and passwords. Returns redacted findings without modifying any data.
Retrieve details of a Jira issue including Epic links and relationships. Optionally inline comments, worklogs, transitions, and other enrichments to reduce separate tool calls.
Fetch full details of a manual test case: steps, preconditions, custom fields, and embedded activity (latest comments, version history, execution results, linked issues).
Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.
Extract all Confluence page links and Git repository URLs referenced in a Jira issue by providing the issue key; scans description, comments, and remote links.
Retrieve the full comment thread for a ticket, including public replies and internal notes. Use after fetching a ticket without comments to get paginated conversation history.
Analyze failed tests in Zebrunner launches to identify root causes, group similar errors, and generate Jira tickets with recommendations for efficient debugging.
Retrieve all comments from a Jira issue, including author, content, timestamps, and visibility settings. Supports pagination for issues with many comments.
Retrieve detailed information about a Jira issue including status, assignee, description, comments, and workflow data to check its current state before making updates.
Search across Jira tickets, meeting transcripts, and documentation to answer freeform questions about codebase, architecture, or past decisions. Natural language queries.