Atlassian MCP

Connect AI agents to Atlassian Jira and Confluence for seamless project and content management through a standardized interface.

Features

• Integration with Atlassian Products: Connects with Jira and Confluence, allowing AI assistants to interact with these tools.
• Natural Language Interface: Enables users to perform actions and retrieve information from Jira and Confluence using natural language commands.
• Jira Capabilities:
  • View and search for issues based on various criteria
  • Get details about specific issues
  • Create, update, and manage issues
  • Transition issues through different workflow stages
  • Assign issues to team members
  • Manage agile boards and sprints (view, add issues to sprints, start/close sprints)
• Confluence Capabilities:
  • View page content and details
  • Create, update, and manage pages
  • Manage page hierarchies
  • View and add comments to pages
  • See and manage page attachments
  • Manage page versions
• Standardized MCP Server: Acts as a bridge between AI assistants and Atlassian APIs, enabling automation and workflow enhancements.
• Installation Methods:
  • Via Smithery CLI for Claude Desktop
  • Manual setup with Atlassian credentials
• Configuration:
  • Requires Atlassian instance URL, username/email, and API token
  • Credentials stored in a configuration file
• Security Considerations: API token required; permissions match those of the user. Advice to use limited-permission tokens and keep credentials secure.
• Cursor Integration: Can be added globally or per-project in Cursor for easy access by AI agents.
• Written in Go

Installation & Setup

• Node.js environment required
• Atlassian account with API access
• API token from Atlassian

Provider & Release

• Provider: Phuc Nguyen
• Release date: May 05, 2025

Source & Documentation

• Official page and documentation

Pricing

• No pricing information provided in the content.

Tags

• mcp, atlassian, project-management, ai-integration