Provides an MCP server to enable AI assistants to interact with Jira for issue, project, board, and user management.
Sponsored
This project offers an experimental, containerized Python MCP (Multi-Modal Code Partner) server designed to bridge AI assistants, such as Cursor, with various Jira functionalities. It allows users to programmatically search issues, manage projects, boards, sprints, and user information directly from their AI-powered environment. Built with Python and containerized using Podman, it provides a straightforward way to integrate comprehensive Jira access, serving as a learning exercise and a foundation for AI tools to leverage Jira data, despite the existence of more mature alternatives.
Key Features
01Search and retrieve Jira issue details using JQL queries.
02Manage Jira projects, including components, versions, and issue types.
03Control Jira boards and sprints, and fetch associated issues.
04Access and manage Jira user information, including assignable users.
058 GitHub stars
06Containerized deployment via Podman for quick setup and execution.
Use Cases
01Automating project and sprint management tasks through AI-driven commands.
02Enabling AI assistants to query, update, and create Jira issues directly.
03Providing developers with a programmatic interface to Jira data within their AI-enhanced development workflow.
