sooperset/mcp-atlassian

MCP server for Atlassian tools (Confluence, Jira)

What it solves

It allows AI assistants to interact directly with Atlassian products, specifically Jira and Confluence. This removes the need for users to manually copy-paste information between their project management tools and their AI chat interfaces.

How it works

It implements the Model Context Protocol (MCP), acting as a server that exposes a wide range of tools to an AI assistant. By configuring the server with API tokens and URLs for Jira and Confluence, the AI can perform actions like searching for issues, creating tickets, and updating pages using the provided toolset.

Who it’s for

Developers and project managers who use Claude Desktop, Cursor, or other MCP-compatible AI assistants and want to automate their workflow within the Atlassian ecosystem.

Highlights

  • Broad Compatibility: Supports both Cloud and Server/Data Center deployments for Jira and Confluence.
  • Extensive Toolset: Provides 98 different tools for managing issues and pages.
  • Flexible Authentication: Supports API tokens, Personal Access Tokens (PAT), and OAuth 2.0.
  • IDE Integration: Easy setup for popular AI-powered IDEs like Cursor and Claude Desktop.

Related

  • Project
    atlassian/atlassian-mcp-server

    A cloud‑hosted bridge that lets AI tools (ChatGPT, Claude, VS Code Copilot, Cursor, etc.) securely read, search, and write Atlassian Cloud data (Jira, Confluence, Bitbucket, Loom, Compass, and the Teamwork Graph) via the open Model Context Protocol. Install the connector, authenticate with OAuth 2.1 or an API token, and issue natural‑language commands that the server translates into Atlassian API calls.

  • Project
    mongodb-js/mongodb-mcp-server

    An MCP server that enables AI agents to interact with MongoDB databases and MongoDB Atlas, providing tools for data querying and cluster management.

  • Project
    argoproj-labs/mcp-for-argocd

    An MCP server that enables AI assistants to interact with Argo CD applications through natural language, providing a comprehensive set of tools for cluster and application management.

  • Project
    a-bonus/google-docs-mcp

    An MCP server that connects AI assistants to Google Docs, Sheets, Drive, Gmail, and Calendar, enabling LLMs to read and manage Workspace data.

  • Project
    wonderwhy-er/DesktopCommanderMCP

    An MCP server that enables AI assistants to search, edit files, and execute terminal commands on your local machine, featuring advanced support for Office documents and process management.