What is Mcp Atlassian Server

MCP Atlassian Server is a Model Context Protocol (MCP) server that connects AI agents, such as Cline, Claude Desktop, or Cursor, with Atlassian Jira and Confluence. It allows these agents to query data and perform actions through a standardized interface.

Use cases

Use cases include automating project updates, querying project statuses, managing tasks through voice commands, and enhancing productivity by reducing context-switching between tools.

How to use

To use MCP Atlassian Server, integrate it with your AI assistant (preferably Cline) via the MCP Marketplace. Once connected, the AI agent can interact with Jira and Confluence to read data and execute actions.

Key features

Key features include connecting AI agents to Jira and Confluence, supporting both read-only resources and action tools, easy integration with Cline, a local-first design for personal development, and optimized performance with Cline AI assistant.

Where to use

MCP Atlassian Server is primarily used in project management environments where Jira and Confluence are utilized, particularly in software development, team collaboration, and task management.

MCP Atlassian Server (by phuc-nt)

What’s New in Version 2.1.1 🚀

• Refactored the entire codebase to standardize resource/tool structure, completely removed the content-metadata resource, and merged metadata into the page resource.
• New developer guide: anyone can now easily extend and maintain the codebase.
• Ensured compatibility with the latest MCP SDK, improved security, scalability, and maintainability.
• Updated docs/introduction/resources-and-tools.md to remove all references to content-metadata.

👉 See the full CHANGELOG for details.

What’s New in Version 2.0.1 🎉

MCP Atlassian Server v2.0.1 brings a major expansion of features and capabilities!

• Updated APIs: Now using the latest Atlassian APIs (Jira API v3, Confluence API v2)
• Expanded Features: Grown from 21 to 48 features, including advanced Jira and Confluence capabilities
• Enhanced Board & Sprint Management: Complete Agile/Scrum workflow support
• Advanced Confluence Features: Page version management, attachments handling, and comment management
• Improved Resource Registration: Fixed duplicate resource registration issues for a more stable experience
• Documentation Update: New comprehensive documentation series explaining MCP architecture, resource/tool development

For full details on all changes, improvements, and fixes, see the CHANGELOG.

Introduction

MCP Atlassian Server (by phuc-nt) is a Model Context Protocol (MCP) server that connects AI agents like Cline, Claude Desktop, or Cursor to Atlassian Jira and Confluence, enabling them to query data and perform actions through a standardized interface.

Note: This server is primarily designed and optimized for use with Cline, though it follows the MCP standard and can work with other MCP-compatible clients.

• Key Features:
  • Connect AI agents to Atlassian Jira and Confluence
  • Support both Resources (read-only) and Tools (actions/mutations)
  • Easy integration with Cline through MCP Marketplace
  • Local-first design for personal development environments
  • Optimized integration with Cline AI assistant

The Why Behind This Project

As a developer working daily with Jira and Confluence, I found myself spending significant time navigating these tools. While they’re powerful, I longed for a simpler way to interact with them without constantly context-switching during deep work.

The emergence of AI Agents and the Model Context Protocol (MCP) presented the perfect opportunity. I immediately saw the potential to connect Jira and Confluence (with plans for Slack, GitHub, Calendar, and more) to my AI workflows.

This project began as a learning journey into MCP and AI Agents, but I hope it evolves into something truly useful for individuals and organizations who interact with Atlassian tools daily.

System Architecture

graph TD
    AI[Cline AI Assistant] <--> MCP[MCP Atlassian Server]
    MCP <--> JiraAPI[Jira API]
    MCP <--> ConfAPI[Confluence API]
    
    subgraph "MCP Server"
        Resources[Resources - Read Only] 
        Tools[Tools - Actions]
    end
    
    Resources --> JiraRes[Jira Resources<br/>issues, projects, users]
    Resources --> ConfRes[Confluence Resources<br/>spaces, pages]
    Tools --> JiraTools[Jira Tools<br/>create, update, transition]
    Tools --> ConfTools[Confluence Tools<br/>create page, comment]

Installation & Setup

For detailed installation and setup instructions, please refer to our installation guide for AI assistants. This guide is specially formatted for AI/LLM assistants like Cline to read and automatically set up the MCP Atlassian Server.

Note for Cline users: The installation guide (llms-install.md) is optimized for Cline AI to understand and execute. You can simply ask Cline to “Install MCP Atlassian Server (by phuc-nt)” and it will be able to parse the instructions and help you set up everything step-by-step.

The guide includes:

• Prerequisites and system requirements
• Step-by-step setup for Node.js environments
• Configuring Cline AI assistant to connect with Atlassian
• Getting and setting up Atlassian API tokens
• Security recommendations and best practices

Installing via Smithery

To install Atlassian Integration Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @phuc-nt/mcp-atlassian-server --client claude

Feature Overview

MCP Atlassian Server enables AI assistants (like Cline, Claude Desktop, Cursor…) to access and manage Jira & Confluence with a full set of features, grouped for clarity:

Jira

• Issue Management

  • View, search, and filter issues
  • Create, update, transition, and assign issues
  • Add issues to backlog or sprint, rank issues

• Project Management

  • View project list, project details, and project roles

• Board & Sprint Management

  • View boards, board configuration, issues and sprints on boards
  • Create, start, and close sprints

• Filter Management

  • View, create, update, and delete filters

• Dashboard & Gadget Management

  • View dashboards and gadgets
  • Create and update dashboards
  • Add or remove gadgets on dashboards

• User Management

  • View user details, assignable users, and users by project role

Confluence

• Space Management

  • View space list, space details, and pages in a space

• Page Management

  • View, search, and get details of pages, child pages, ancestors, attachments, and version history
  • Create, update, rename, and delete pages

• Comment Management

  • View, add, update, and delete comments on pages

For a full technical breakdown of all features, resources, and tools, see:
docs/introduction/resources-and-tools.md

Request Flow

sequenceDiagram
    participant User
    participant Cline as Cline AI
    participant MCP as MCP Server
    participant Atlassian as Atlassian API
    
    User->>Cline: "Find all my assigned issues"
    Cline->>MCP: Request jira://issues
    MCP->>Atlassian: API Request with Auth
    Atlassian->>MCP: JSON Response
    MCP->>Cline: Formatted MCP Resource
    Cline->>User: "I found these issues..."
    
    User->>Cline: "Create new issue about login bug"
    Cline->>MCP: Call createIssue Tool
    MCP->>Atlassian: POST /rest/api/3/issue
    Atlassian->>MCP: Created Issue Data
    MCP->>Cline: Success Response
    Cline->>User: "Created issue DEMO-123"

Security Note

• Your API token inherits all permissions of the user that created it
• Never share your token with a non-trusted party
• Be cautious when asking LLMs to analyze config files containing your token
• See detailed security guidelines in llms-install.md

Contribute & Support

• Contribute by opening Pull Requests or Issues on GitHub.
• Join the MCP/Cline community for additional support.