MCP Atlassian

Integrations

  • Provides integration with Atlassian products (Confluence and Jira), supporting both Atlassian Cloud and Server/Data Center deployments

  • Allows searching, creating, updating, and deleting Confluence pages, as well as retrieving comments and child pages

  • Enables searching, creating, updating, and managing Jira issues, including transitions, worklogs, and epic relationships

MCP Atlassian

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). This integration supports both Confluence & Jira Cloud and Server/Data Center deployments.

Example Usage

Ask your AI assistant to:

  • 📝 Automatic Jira Updates - "Update Jira from our meeting notes"
  • 🔍 AI-Powered Confluence Search - "Find our OKR guide in Confluence and summarize it"
  • 🐛 Smart Jira Issue Filtering - "Show me urgent bugs in PROJ project from last week"
  • 📄 Content Creation & Management - "Create a tech design doc for XYZ feature"

Feature Demo

https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e

https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785

Compatibility

ProductDeployment TypeSupport Status
ConfluenceCloud✅ Fully supported
ConfluenceServer/Data Center✅ Supported (version 6.0+)
JiraCloud✅ Fully supported
JiraServer/Data Center✅ Supported (version 8.14+)

Quick Start Guide

1. Authentication Setup

MCP Atlassian supports three authentication methods:

A. API Token Authentication (Cloud)
  1. Go to https://id.atlassian.com/manage-profile/security/api-tokens
  2. Click Create API token, name it
  3. Copy the token immediately
B. Personal Access Token (Server/Data Center)
  1. Go to your profile (avatar) → ProfilePersonal Access Tokens
  2. Click Create token, name it, set expiry
  3. Copy the token immediately
C. OAuth 2.0 Authentication (Cloud only)
  1. Create an OAuth 2.0 integration in Atlassian:
  2. Run the OAuth authorization helper:
    uvx mcp-atlassian@latest --oauth-setup
    This will guide you through the setup process by prompting for the required values (Client ID, Client Secret, etc.).Alternatively, you can clone the repository and run the script directly:
    # Clone the repository if you haven't already git clone https://github.com/sooperset/mcp-atlassian.git cd mcp-atlassian # Run the OAuth authorization script python scripts/oauth_authorize.py \ --client-id YOUR_CLIENT_ID \ --client-secret YOUR_CLIENT_SECRET \ --redirect-uri "http://localhost:8080/callback" \ --scope "read:jira-work write:jira-work read:confluence-space.summary write:confluence-content"
  3. Follow the browser prompt to authorize the application
  4. After successful authorization, add the displayed environment variables to your .env file

2. Installation

MCP Atlassian is distributed as a Docker image. This is the recommended way to run the server, especially for IDE integration. Ensure you have Docker installed.

# Pull Pre-built Image docker pull ghcr.io/sooperset/mcp-atlassian:latest

IDE Integration

MCP Atlassian is designed to be used with AI assistants through IDE integration.

Tip

For Claude Desktop: Locate and edit the configuration file directly:

  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

For Cursor: Open Settings → MCP → + Add new global MCP server

Configuration Methods

There are two main approaches to configure the Docker container:

  1. Passing Variables Directly (shown in examples below)
  2. Using an Environment File with --env-file flag (shown in collapsible sections)

Note

Common environment variables include:

  • CONFLUENCE_SPACES_FILTER: Filter by space keys (e.g., "DEV,TEAM,DOC")
  • JIRA_PROJECTS_FILTER: Filter by project keys (e.g., "PROJ,DEV,SUPPORT")
  • READ_ONLY_MODE: Set to "true" to disable write operations
  • MCP_VERBOSE: Set to "true" for more detailed logging
  • ENABLED_TOOLS: Comma-separated list of tool names to enable (e.g., "confluence_search,jira_get_issue")

See the .env.example file for all available options.

Configuration Examples

Method 1 (Passing Variables Directly):

{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "CONFLUENCE_URL", "-e", "CONFLUENCE_USERNAME", "-e", "CONFLUENCE_API_TOKEN", "-e", "JIRA_URL", "-e", "JIRA_USERNAME", "-e", "JIRA_API_TOKEN", "ghcr.io/sooperset/mcp-atlassian:latest" ], "env": { "CONFLUENCE_URL": "https://your-company.atlassian.net/wiki", "CONFLUENCE_USERNAME": "your.email@company.com", "CONFLUENCE_API_TOKEN": "your_confluence_api_token", "JIRA_URL": "https://your-company.atlassian.net", "JIRA_USERNAME": "your.email@company.com", "JIRA_API_TOKEN": "your_jira_api_token" } } } }
{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "--rm", "-i", "--env-file", "/path/to/your/mcp-atlassian.env", "ghcr.io/sooperset/mcp-atlassian:latest" ] } } }

For Server/Data Center deployments, use direct variable passing:

{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "CONFLUENCE_URL", "-e", "CONFLUENCE_PERSONAL_TOKEN", "-e", "CONFLUENCE_SSL_VERIFY", "-e", "JIRA_URL", "-e", "JIRA_PERSONAL_TOKEN", "-e", "JIRA_SSL_VERIFY", "ghcr.io/sooperset/mcp-atlassian:latest" ], "env": { "CONFLUENCE_URL": "https://confluence.your-company.com", "CONFLUENCE_PERSONAL_TOKEN": "your_confluence_pat", "CONFLUENCE_SSL_VERIFY": "false", "JIRA_URL": "https://jira.your-company.com", "JIRA_PERSONAL_TOKEN": "your_jira_pat", "JIRA_SSL_VERIFY": "false" } } } }

Note

Set CONFLUENCE_SSL_VERIFY and JIRA_SSL_VERIFY to "false" only if you have self-signed certificates.

For Atlassian Cloud with OAuth 2.0:

{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "CONFLUENCE_URL", "-e", "JIRA_URL", "-e", "ATLASSIAN_OAUTH_CLIENT_ID", "-e", "ATLASSIAN_OAUTH_CLIENT_SECRET", "-e", "ATLASSIAN_OAUTH_REDIRECT_URI", "-e", "ATLASSIAN_OAUTH_SCOPE", "-e", "ATLASSIAN_OAUTH_CLOUD_ID", "ghcr.io/sooperset/mcp-atlassian:latest" ], "env": { "CONFLUENCE_URL": "https://your-company.atlassian.net/wiki", "JIRA_URL": "https://your-company.atlassian.net", "ATLASSIAN_OAUTH_CLIENT_ID": "your_client_id", "ATLASSIAN_OAUTH_CLIENT_SECRET": "your_client_secret", "ATLASSIAN_OAUTH_REDIRECT_URI": "http://localhost:8080/callback", "ATLASSIAN_OAUTH_SCOPE": "read:jira-work write:jira-work read:confluence-space.summary write:confluence-content", "ATLASSIAN_OAUTH_CLOUD_ID": "your_cloud_id" } } } }

Tip

Run the scripts/oauth_authorize.py script to get your access token and cloud ID. OAuth 2.0 authentication takes precedence over other authentication methods if configured.

MCP Atlassian supports routing API requests through standard HTTP/HTTPS/SOCKS proxies. Configure using environment variables:

  • Supports standard HTTP_PROXY, HTTPS_PROXY, NO_PROXY, SOCKS_PROXY.
  • Service-specific overrides are available (e.g., JIRA_HTTPS_PROXY, CONFLUENCE_NO_PROXY).
  • Service-specific variables override global ones for that service.

Add the relevant proxy variables to the args (using -e) and env sections of your MCP configuration:

{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "... existing Confluence/Jira vars", "-e", "HTTP_PROXY", "-e", "HTTPS_PROXY", "-e", "NO_PROXY", "ghcr.io/sooperset/mcp-atlassian:latest" ], "env": { "... existing Confluence/Jira vars": "...", "HTTP_PROXY": "http://proxy.internal:8080", "HTTPS_PROXY": "http://proxy.internal:8080", "NO_PROXY": "localhost,.your-company.com" } } } }

Credentials in proxy URLs are masked in logs. If you set NO_PROXY, it will be respected for requests to matching hosts.

For Confluence Cloud only:

{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "CONFLUENCE_URL", "-e", "CONFLUENCE_USERNAME", "-e", "CONFLUENCE_API_TOKEN", "ghcr.io/sooperset/mcp-atlassian:latest" ], "env": { "CONFLUENCE_URL": "https://your-company.atlassian.net/wiki", "CONFLUENCE_USERNAME": "your.email@company.com", "CONFLUENCE_API_TOKEN": "your_api_token" } } } }

For Confluence Server/DC, use:

{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "CONFLUENCE_URL", "-e", "CONFLUENCE_PERSONAL_TOKEN", "ghcr.io/sooperset/mcp-atlassian:latest" ], "env": { "CONFLUENCE_URL": "https://confluence.your-company.com", "CONFLUENCE_PERSONAL_TOKEN": "your_personal_token" } } } }

For Jira Cloud only:

{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "JIRA_URL", "-e", "JIRA_USERNAME", "-e", "JIRA_API_TOKEN", "ghcr.io/sooperset/mcp-atlassian:latest" ], "env": { "JIRA_URL": "https://your-company.atlassian.net", "JIRA_USERNAME": "your.email@company.com", "JIRA_API_TOKEN": "your_api_token" } } } }

For Jira Server/DC, use:

{ "mcpServers": { "mcp-atlassian": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "JIRA_URL", "-e", "JIRA_PERSONAL_TOKEN", "ghcr.io/sooperset/mcp-atlassian:latest" ], "env": { "JIRA_URL": "https://jira.your-company.com", "JIRA_PERSONAL_TOKEN": "your_personal_token" } } } }

SSE Transport Configuration

  1. Start the server manually in a terminal:
    docker run --rm -p 9000:9000 \ --env-file /path/to/your/.env \ ghcr.io/sooperset/mcp-atlassian:latest \ --transport sse --port 9000 -vv
  2. Configure your IDE to connect to the running server via its URL:
    { "mcpServers": { "mcp-atlassian-sse": { "url": "http://localhost:9000/sse" } } }

Tools

Key Tools

Jira Tools
  • jira_get_issue: Get details of a specific issue
  • jira_search: Search issues using JQL
  • jira_create_issue: Create a new issue
  • jira_update_issue: Update an existing issue
  • jira_transition_issue: Transition an issue to a new status
  • jira_add_comment: Add a comment to an issue
Confluence Tools
  • confluence_search: Search Confluence content using CQL
  • confluence_get_page: Get content of a specific page
  • confluence_create_page: Create a new page
  • confluence_update_page: Update an existing page
OperationJira ToolsConfluence Tools
Readjira_searchconfluence_search
jira_get_issueconfluence_get_page
jira_get_project_issuesconfluence_get_page_children
jira_get_worklogconfluence_get_comments
jira_get_transitionsconfluence_get_labels
jira_get_agile_boards
jira_get_board_issues
jira_get_sprints_from_board
jira_get_sprint_issues
jira_get_issue_link_types
jira_batch_get_changelogs*
jira_get_user_profile
jira_download_attachments
Writejira_create_issueconfluence_create_page
jira_update_issueconfluence_update_page
jira_delete_issueconfluence_delete_page
jira_batch_create_issuesconfluence_add_label
jira_add_comment
jira_transition_issue
jira_add_worklog
jira_link_to_epic
jira_create_sprint
jira_update_sprint
jira_create_issue_link
jira_remove_issue_link

*Tool only available on Jira Cloud

Tool Filtering and Access Control

The server provides two ways to control tool access:

  1. Tool Filtering: Use --enabled-tools flag or ENABLED_TOOLS environment variable to specify which tools should be available:
    # Via environment variable ENABLED_TOOLS="confluence_search,jira_get_issue,jira_search" # Or via command line flag docker run ... --enabled-tools "confluence_search,jira_get_issue,jira_search" ...
  2. Read/Write Control: Tools are categorized as read or write operations. When READ_ONLY_MODE is enabled, only read operations are available regardless of ENABLED_TOOLS setting.

Troubleshooting & Debugging

Common Issues

  • Authentication Failures:
    • For Cloud: Check your API tokens (not your account password)
    • For Server/Data Center: Verify your personal access token is valid and not expired
    • For older Confluence servers: Some older versions require basic authentication with CONFLUENCE_USERNAME and CONFLUENCE_API_TOKEN (where token is your password)
  • SSL Certificate Issues: If using Server/Data Center and encounter SSL errors, set CONFLUENCE_SSL_VERIFY=false or JIRA_SSL_VERIFY=false
  • Permission Errors: Ensure your Atlassian account has sufficient permissions to access the spaces/projects

Debugging Tools

# Using MCP Inspector for testing npx @modelcontextprotocol/inspector uvx mcp-atlassian ... # For local development version npx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-atlassian run mcp-atlassian ... # View logs # macOS tail -n 20 -f ~/Library/Logs/Claude/mcp*.log # Windows type %APPDATA%\Claude\logs\mcp*.log | more

Security

  • Never share API tokens
  • Keep .env files secure and private
  • See SECURITY.md for best practices

Contributing

We welcome contributions to MCP Atlassian! If you'd like to contribute:

  1. Check out our CONTRIBUTING.md guide for detailed development setup instructions.
  2. Make changes and submit a pull request.

We use pre-commit hooks for code quality and follow semantic versioning for releases.

License

Licensed under MIT - see LICENSE file. This is not an official Atlassian product.

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A
security – no known vulnerabilities
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license - permissive license
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quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). This integration supports both Confluence & Jira Cloud and Server/Data Center deployments.

  1. Example Usage
    1. Feature Demo
    2. Compatibility
  2. Quick Start Guide
    1. 1. Authentication Setup
    2. 2. Installation
  3. IDE Integration
    1. Configuration Methods
    2. Configuration Examples
    3. SSE Transport Configuration
  4. Tools
    1. Key Tools
    2. Tool Filtering and Access Control
  5. Troubleshooting & Debugging
    1. Common Issues
    2. Debugging Tools
  6. Security
    1. Contributing
      1. License

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