mcp-atlassian 0.3.0

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

pip install mcp-atlassian==0.3.0

MCP Atlassian

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

Feature Demo

Jira Demo

Confluence Demo

Compatibility

Product	Deployment Type	Support Status
Confluence	Cloud	✅ Fully supported
Confluence	Server/Data Center	✅ Supported (version 7.9+)
Jira	Cloud	✅ Fully supported
Jira	Server/Data Center	✅ Supported (version 8.14+)

Setup Guide

1. Authentication Setup

First, generate the necessary authentication tokens:

For Atlassian Cloud

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

For 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

Choose one of these installation methods:

# Using uv (recommended)
brew install uv
uvx mcp-atlassian

# Using pip
pip install mcp-atlassian

# Using Docker
git clone https://github.com/sooperset/mcp-atlassian.git
cd mcp-atlassian
docker build -t mcp/atlassian .

3. Configuration and Usage

You can configure the MCP server using command line arguments. The server supports using either Confluence, Jira, or both services - include only the arguments needed for your use case.

Required Arguments

For Atlassian Cloud:

uvx mcp-atlassian \
  --confluence-url https://your-company.atlassian.net/wiki \
  --confluence-username your.email@company.com \
  --confluence-token your_api_token \
  --jira-url https://your-company.atlassian.net \
  --jira-username your.email@company.com \
  --jira-token your_api_token

For Server/Data Center:

uvx mcp-atlassian \
  --confluence-url https://confluence.your-company.com \
  --confluence-personal-token your_token \
  --jira-url https://jira.your-company.com \
  --jira-personal-token your_token

Note: You can configure just Confluence, just Jira, or both services. Simply include only the arguments for the service(s) you want to use. For example, to use only Confluence Cloud, you would only need --confluence-url, --confluence-username, and --confluence-token.

Optional Arguments

--transport: Choose transport type (stdio [default] or sse)
--port: Port number for SSE transport (default: 8000)
--[no-]confluence-ssl-verify: Toggle SSL verification for Confluence Server/DC
--[no-]jira-ssl-verify: Toggle SSL verification for Jira Server/DC
--verbose: Increase logging verbosity (can be used multiple times)
--read-only: Run in read-only mode (disables all write operations)

Note: All configuration options can also be set via environment variables. See the .env.example file in the repository for the full list of available environment variables.

IDE Integration

Claude Desktop Setup

Using uvx (recommended) - Cloud:

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "uvx",
      "args": [
        "mcp-atlassian",
        "--confluence-url=https://your-company.atlassian.net/wiki",
        "--confluence-username=your.email@company.com",
        "--confluence-token=your_api_token",
        "--jira-url=https://your-company.atlassian.net",
        "--jira-username=your.email@company.com",
        "--jira-token=your_api_token"
      ]
    }
  }
}

Using uvx (recommended) - Server/Data Center

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "uvx",
      "args": [
        "mcp-atlassian",
        "--confluence-url=https://confluence.your-company.com",
        "--confluence-personal-token=your_token",
        "--jira-url=https://jira.your-company.com",
        "--jira-personal-token=your_token"
      ]
    }
  }
}

Using pip

Note: Examples below use Atlassian Cloud configuration. For Server/Data Center, use the corresponding arguments (--confluence-personal-token, --jira-personal-token) as shown in the Configuration section above.

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "python",
      "args": [
        "-m",
        "mcp-atlassian",
        "--confluence-url=https://your-company.atlassian.net/wiki",
        "--confluence-username=your.email@company.com",
        "--confluence-token=your_api_token",
        "--jira-url=https://your-company.atlassian.net",
        "--jira-username=your.email@company.com",
        "--jira-token=your_api_token"
      ]
    }
  }
}

Using docker

Note: Examples below use Atlassian Cloud configuration. For Server/Data Center, use the corresponding arguments (--confluence-personal-token, --jira-personal-token) as shown in the Configuration section above.

There are two ways to configure the Docker environment:

Using cli arguments directly in the config:

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "mcp/atlassian",
        "--confluence-url=https://your-company.atlassian.net/wiki",
        "--confluence-username=your.email@company.com",
        "--confluence-token=your_api_token",
        "--jira-url=https://your-company.atlassian.net",
        "--jira-username=your.email@company.com",
        "--jira-token=your_api_token"
      ]
    }
  }
}

Using an environment file:

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

Cursor IDE Setup

Open Cursor Settings
Navigate to Features > MCP Servers
Click Add new MCP server

For stdio transport:

name: mcp-atlassian
type: command
command: uvx mcp-atlassian --confluence-url=https://your-company.atlassian.net/wiki --confluence-username=your.email@company.com --confluence-token=your_api_token --jira-url=https://your-company.atlassian.net --jira-username=your.email@company.com --jira-token=your_api_token

Server/Data Center Configuration

name: mcp-atlassian
type: command
command: uvx mcp-atlassian --confluence-url=https://confluence.your-company.com --confluence-personal-token=your_token --jira-url=https://jira.your-company.com --jira-personal-token=your_token

For SSE transport, first start the server:

uvx mcp-atlassian ... --transport sse --port 8000

Then configure in Cursor:

name: mcp-atlassian
type: sse
Server URL: http://localhost:8000/sse

Resources

Note: The MCP server filters resources to only show Confluence spaces and Jira projects that the user is actively interacting with, based on their contributions and assignments.

confluence://{space_key}: Access Confluence spaces
jira://{project_key}: Access Jira projects

Available Tools

Tool	Description
`confluence_search`	Search Confluence content using CQL
`confluence_get_page`	Get content of a specific Confluence page
`confluence_get_page_children`	Get child pages of a specific Confluence page
`confluence_get_page_ancestors`	Get parent pages of a specific Confluence page
`confluence_get_comments`	Get comments for a specific Confluence page
`confluence_create_page`	Create a new Confluence page
`confluence_update_page`	Update an existing Confluence page
`confluence_delete_page`	Delete an existing Confluence page
`jira_get_issue`	Get details of a specific Jira issue
`jira_search`	Search Jira issues using JQL
`jira_get_project_issues`	Get all issues for a specific Jira project
`jira_create_issue`	Create a new issue in Jira
`jira_update_issue`	Update an existing Jira issue
`jira_delete_issue`	Delete an existing Jira issue
`jira_get_transitions`	Get available status transitions for a Jira issue
`jira_transition_issue`	Transition a Jira issue to a new status
`jira_add_worklog`	Add a worklog entry to a Jira issue
`jira_get_worklog`	Get worklog entries for a Jira issue
`jira_link_to_epic`	Link an issue to an Epic
`jira_get_epic_issues`	Get all issues linked to a specific Epic

Development & Debugging

Local Development Setup

If you've cloned the repository and want to run a local version:

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "uv",
      "args": [
        "--directory", "/path/to/your/mcp-atlassian",
        "run", "mcp-atlassian",
        "--confluence-url=https://your-domain.atlassian.net/wiki",
        "--confluence-username=your.email@domain.com",
        "--confluence-token=your_api_token",
        "--jira-url=https://your-domain.atlassian.net",
        "--jira-username=your.email@domain.com",
        "--jira-token=your_api_token"
      ]
    }
  }
}

Debugging Tools

# Using MCP Inspector
# For installed package
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
tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

Security

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

License

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

Metadata

Release files for mcp-atlassian 0.3.0

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Source distribution for mcp-atlassian 0.3.0
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Table of built distributions (wheels) for mcp-atlassian 0.3.0
File	Interpreter	ABI	Platform	Reset
mcp_atlassian-0.3.0-py3-none-any.whl 91.6 kB Mar 23, 2025	Python 3	none	any	Details

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