Provides a Model Context Protocol (MCP) server to integrate AI assistants with Jira, Confluence, and Bitbucket.
Sponsored
This Model Context Protocol (MCP) server enables AI assistants to seamlessly interact with Atlassian's core products: Jira for project and issue tracking, Confluence for collaboration and documentation, and Bitbucket for source code management. It supports both Cloud and Server/Data Center deployments, offering 136 distinct tools across 33 specialized toolsets. Designed for easy setup with AI development environments like Claude Desktop, Cursor, and VS Code, it empowers users to automate tasks, query information, and manage workflows directly through natural language commands, significantly enhancing productivity across development and operational teams.
Key Features
01Configurable toolsets to enable specific functionalities and control access.
02Extensive integration with Jira, Confluence, and Bitbucket (Cloud & Server/Data Center).
03Offers 136 tools across 33 toolsets for comprehensive platform management.
04Multiple authentication options including API tokens and personal access tokens with scoped permissions.
05Seamless integration with AI assistants via standard MCP configurations.
062 GitHub stars
Use Cases
01Automate common Jira tasks like finding issues, creating new ones, or updating statuses.
02Query and manage Confluence content, such as searching for documentation or pages.
03Streamline Bitbucket development workflows by listing, approving, merging pull requests, and triggering CI/CD pipelines.
