Enables MCP-compatible clients to directly manage Jira Requirements and Test Management resources such as requirements, test cases, plans, executions, defects, tree structures, and automation via exposed tools.
Enables AI assistants to interact with Zephyr Scale Cloud for test management, including test cases, cycles, plans, folders, priorities, and statuses via the MCP protocol.
MCP server for Jira Cloud tailored for ALM projects with Zephyr Scale integration, enabling issue management, sprint tracking, and test step operations.
Enables headless Jira Cloud automation via MCP: create issues and subtasks, read and JQL-search issues, inspect agile boards and swimlanes, move issues through workflows, and add comments and attachments.
Enables AI coding assistants to search, create, update, and manage Jira issues, users, and projects via natural language, using the Jira REST API and MCP stdio transport.