mcp-atlassian: AI-Powered Interaction with Atlassian Tools

Introduction

mcp-atlassian is an innovative Model Context Protocol (MCP) server that bridges the gap between AI assistants and your Atlassian ecosystem. It allows large language models (LLMs) to interact directly with Confluence and Jira, performing a wide array of tasks through natural language commands. Whether you're using Atlassian Cloud or a Server/Data Center deployment, mcp-atlassian provides a robust framework for AI-driven automation and information retrieval.

Installation

Getting started with mcp-atlassian involves a few straightforward steps to configure your environment and AI assistant.

1. Get Your API Token

For Atlassian Cloud, generate an API token from your Atlassian profile: https://id.atlassian.com/manage-profile/security/api-tokens.
For Server/Data Center, use a Personal Access Token. Refer to the Authentication documentation for details.

2. Configure Your IDE

Add the following configuration to your Claude Desktop or Cursor MCP setup, replacing placeholders with your actual Atlassian details:

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "uvx",
      "args": ["mcp-atlassian"],
      "env": {
        "JIRA_URL": "https://your-company.atlassian.net",
        "JIRA_USERNAME": "your.email@company.com",
        "JIRA_API_TOKEN": "your_api_token",
        "CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
        "CONFLUENCE_USERNAME": "your.email@company.com",
        "CONFLUENCE_API_TOKEN": "your_api_token"
      }
    }
  }
}

Server/Data Center users should use JIRA_PERSONAL_TOKEN instead of JIRA_USERNAME + JIRA_API_TOKEN. Consult the Authentication documentation for more information.

Examples

Once configured, you can instruct your AI assistant to perform various tasks within Jira and Confluence using natural language.

• "Find issues assigned to me in PROJ project"
• "Search Confluence for onboarding docs"
• "Create a bug ticket for the login issue"
• "Update the status of PROJ-123 to Done"

The project supports 72 tools in total, covering extensive functionalities for both platforms.

Why Use It

mcp-atlassian empowers users to interact with their Atlassian tools in a more intuitive and efficient way. By leveraging AI assistants, you can automate routine tasks, quickly retrieve information, and streamline project management workflows without needing to navigate complex interfaces. It enhances productivity by allowing you to focus on strategic work while your AI handles the operational details within Jira and Confluence. Its broad compatibility and comprehensive toolset make it a valuable addition to any team utilizing Atlassian products.

Links

• GitHub Repository: https://github.com/sooperset/mcp-atlassian
• Official Documentation: https://mcp-atlassian.soomiles.com
• Tools Reference: https://mcp-atlassian.soomiles.com/docs/tools-reference