mcp atlassian server

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

For detailed documentation of all Resources and Tools, see Resources & Tools Reference

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"

Example Use Cases

Try asking Cline these queries after installation:

1. Create and Manage Tasks
2. "Create a new issue in project DEMO about login errors"
3. "Find all issues assigned to me in the current sprint"

4. "Transition issue DEMO-43 to Done status"

5. Project Information Summary

6. "Summarize all issues in project DEMO"
7. "Who is assigned issues in project DEMO?"

8. "List unassigned issues in the current sprint"

9. Documentation with Confluence

10. "Create a Confluence page titled Meeting Notes "
11. "Update the Confluence page API Documentation with new examples and labels"
12. "Add the label documentation to the page about architecture"
13. "Remove the label draft from the page Meeting Notes "

14. "Add a comment to the Confluence page about API Documentation"

15. Analysis and Reporting

16. "Compare the number of completed issues between the current and previous sprint"
17. "Who has the most issues in To Do status?"

These queries work best within the Cline environment, which has been thoroughly tested with this MCP server.

Usage Notes

1. Simple JQL: When searching for issues, use simple JQL without spaces or special characters (e.g., project=DEMO instead of project = DEMO AND key = DEMO-43).

2. Create Confluence Page: When creating a Confluence page, use simple HTML content and do not specify parentId to avoid errors.

3. Update Confluence Page: When updating a page, always include the current version number to avoid conflicts. You can also update labels (add/remove) and must use valid storage format for content.

4. Create Issue: When creating new issues, only provide the minimum required fields (projectKey, summary) for best success.

5. Access Rights: Ensure the configured Atlassian account has access to the projects and spaces you want to interact with.

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.

MCP Atlassian Server (by phuc-nt) is ready for one-click installation from Cline Marketplace!
See detailed instructions in llms-install.md

While the server uses the open MCP standard, it is primarily designed and tested for Cline users.