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

mcp-atlassian-jira-demo.mp4

Confluence Demo

confluence-1k.mp4

Compatibility

Product	Deployment Type	Support Status
Confluence	Cloud	✅ Fully supported
Confluence	Server/Data Center	✅ Supported (version 6.0+)
Jira	Cloud	✅ Fully supported
Jira	Server/Data Center	✅ Supported (version 8.14+)

Quick Start Guide

1. Authentication Setup

MCP Atlassian supports three authentication methods:

A. API Token Authentication (Cloud)

Go to https://id.atlassian.com/manage-profile/security/api-tokens
Click Create API token, name it
Copy the token immediately

B. Personal Access Token (Server/Data Center)

Go to your profile (avatar) → Profile → Personal Access Tokens
Click Create token, name it, set expiry
Copy the token immediately

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:

Passing Variables Directly (shown in examples below)
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": "[email protected]",
        "CONFLUENCE_API_TOKEN": "your_confluence_api_token",
        "JIRA_URL": "https://your-company.atlassian.net",
        "JIRA_USERNAME": "[email protected]",
        "JIRA_API_TOKEN": "your_jira_api_token"
      }
    }
  }
}

Alternative: Using Environment File

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--env-file",
        "/path/to/your/mcp-atlassian.env",
        "ghcr.io/sooperset/mcp-atlassian:latest"
      ]
    }
  }
}

Server/Data Center Configuration

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.

Proxy Configuration

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.

Single Service Configurations

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": "[email protected]",
        "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": "[email protected]",
        "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

Using SSE Instead of stdio

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

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

View All Tools

Operation	Jira Tools	Confluence Tools
Read	`jira_search`	`confluence_search`
	`jira_get_issue`	`confluence_get_page`
	`jira_get_project_issues`	`confluence_get_page_children`
	`jira_get_worklog`	`confluence_get_comments`
	`jira_get_transitions`	`confluence_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`
Write	`jira_create_issue`	`confluence_create_page`
	`jira_update_issue`	`confluence_update_page`
	`jira_delete_issue`	`confluence_delete_page`
	`jira_batch_create_issues`	`confluence_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:

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" ...

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:

Check out our CONTRIBUTING.md guide for detailed development setup instructions.
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.

Name		Name	Last commit message	Last commit date
Latest commit History 244 Commits
.devcontainer		.devcontainer
.github		.github
scripts		scripts
src/mcp_atlassian		src/mcp_atlassian
tests		tests
.dockerignore		.dockerignore
.env.example		.env.example
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
SECURITY.md		SECURITY.md
pyproject.toml		pyproject.toml
smithery.yaml		smithery.yaml
uv.lock		uv.lock

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MCP Atlassian

Example Usage

Feature Demo

Compatibility

Quick Start Guide

1. Authentication Setup

A. API Token Authentication (Cloud)

B. Personal Access Token (Server/Data Center)

2. Installation

IDE Integration

Configuration Methods

Configuration Examples

SSE Transport Configuration

Tools

Key Tools

Jira Tools

Confluence Tools

Tool Filtering and Access Control

Troubleshooting & Debugging

Common Issues

Debugging Tools

Security

Contributing

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MCP Atlassian

Example Usage

Feature Demo

Compatibility

Quick Start Guide

1. Authentication Setup

A. API Token Authentication (Cloud)

B. Personal Access Token (Server/Data Center)

2. Installation

IDE Integration

Configuration Methods

Configuration Examples

SSE Transport Configuration

Tools

Key Tools

Jira Tools

Confluence Tools

Tool Filtering and Access Control

Troubleshooting & Debugging

Common Issues

Debugging Tools

Security

Contributing

License

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