What problem does it solve? Connecting AI assistants to Jira and Confluence requires navigating multiple MCP server options, authentication methods, and query languages, which is error-prone and time-consuming without structured guidance. ## Core Features & Use Cases - MCP Server Setup: Configure official, sooperset, or self-hosted Atlassian MCP servers with OAuth 2.1, API tokens, or PAT authentication. - Jira Operations: Write and validate JQL queries, create and update issues, manage sprints, and build issue-linking dependency chains. - Confluence Operations: Search content with CQL, create and update pages with storage-format macros, and manage labels and comments. - Use Case: Automate a sprint retrospective by querying completed sprint issues via JQL, calculating velocity metrics, and generating a formatted Confluence retro page with embedded Jira macros. ## Quick Start Set up an Atlassian MCP server connection and show me all open bugs assigned to me in the current sprint.