Execute a complete feature implementation workflow from ticket to tested code, following team standards with planning, approval, implementation, review, and testing phases using integrated MCP tools.
Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.
Review your architecture decision records against actual code implementation to spot inconsistencies and generate actionable update plans for non-compliant ADRs.
Discover available tools from enabled Docker MCP servers via the Orbit-MCP gateway. Get a list of tool definitions to see what's accessible for your AI workflows.