mcp-atlassian 0.1.12

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==0.1.12

MCP Atlassian

Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.

Feature Demo

Demo

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. This makes the integration more efficient and focused on relevant content.

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

Tools

Confluence Tools

confluence_search
- Search Confluence content using CQL
- Inputs:
  - query (string): CQL query string
  - limit (number, optional): Results limit (1-50, default: 10)
- Returns: Array of search results with page_id, title, space, url, last_modified, type, and excerpt
confluence_get_page
- Get content of a specific Confluence page
- Inputs:
  - page_id (string): Confluence page ID
  - include_metadata (boolean, optional): Include page metadata (default: true)
- Returns: Page content and optional metadata
confluence_get_comments
- Get comments for a specific Confluence page
- Input:
  - page_id (string): Confluence page ID
- Returns: Array of comments with author, creation date, and content
confluence_create_page
- Create a new Confluence page
- Inputs:
  - space_key (string): The key of the space to create the page in
  - title (string): The title of the page
  - content (string): The content of the page in Markdown format
  - parent_id (string, optional): Optional parent page ID
- Returns: Created page details with metadata
- Note: Uses markdown-to-confluence library for proper Confluence storage format conversion
confluence_update_page
- Update an existing Confluence page
- Inputs:
  - page_id (string): The ID of the page to update
  - title (string): The new title of the page
  - content (string): The new content of the page in Markdown format
  - minor_edit (boolean, optional): Whether this is a minor edit (default: false)
  - version_comment (string, optional): Optional comment for this version (default: "")
- Returns: Updated page details with metadata
- Note: Uses markdown-to-confluence library for proper Confluence storage format conversion

Jira Tools

jira_get_issue
- Get details of a specific Jira issue
- Inputs:
  - issue_key (string): Jira issue key (e.g., 'PROJ-123')
  - expand (string, optional): Fields to expand
  - comment_limit (integer, optional): Maximum number of comments to include (0 or null for no comments)
- Returns: Issue details including content and metadata
jira_search
- Search Jira issues using JQL
- Inputs:
  - jql (string): JQL query string
  - fields (string, optional): Comma-separated fields (default: "*all")
  - limit (number, optional): Results limit (1-50, default: 10)
- Returns: Array of matching issues with metadata
jira_get_project_issues
- Get all issues for a specific Jira project
- Inputs:
  - project_key (string): Project key
  - limit (number, optional): Results limit (1-50, default: 10)
- Returns: Array of project issues with metadata
jira_create_issue
- Create a new issue in Jira
- Inputs:
  - project_key (string): The JIRA project key (e.g. 'PROJ')
  - summary (string): Summary/title of the issue
  - issue_type (string): Issue type (e.g. 'Task', 'Bug', 'Story')
  - description (string, optional): Issue description
  - additional_fields (string, optional): JSON string of additional fields
- Returns: Created issue details with metadata
jira_update_issue
- Update an existing Jira issue
- Inputs:
  - issue_key (string): Jira issue key
  - fields (string): JSON object of fields to update
  - additional_fields (string, optional): JSON string of additional fields
- Returns: Updated issue details with metadata
jira_delete_issue
- Delete an existing Jira issue
- Inputs:
  - issue_key (string): Jira issue key (e.g. PROJ-123)
- Returns: Success confirmation message

Installation

Using uv (recommended)

On macOS:

brew install uv

When using uv, no specific installation is needed. We will use uvx to directly run mcp-atlassian.

uvx mcp-atlassian

Using PIP

Alternatively you can install mcp-atlassian via pip:

pip install mcp-atlassian

Installing via Smithery

To install Atlassian Integration for Claude Desktop automatically via Smithery:

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

Configuration

The MCP Atlassian integration supports using either Confluence, Jira, or both services. You only need to provide the environment variables for the service(s) you want to use.

Usage with Claude Desktop

Get API tokens from: https://id.atlassian.com/manage-profile/security/api-tokens
Add to your claude_desktop_config.json using one of the following methods:

Note: For all configuration methods, include only the environment variables needed for your services:

For Confluence only: Include CONFLUENCE_URL, CONFLUENCE_USERNAME, and CONFLUENCE_API_TOKEN

For Jira only: Include JIRA_URL, JIRA_USERNAME, and JIRA_API_TOKEN

For both services: Include all six variables

Using uvx

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "uvx",
      "args": ["mcp-atlassian"],
      "env": {
        "CONFLUENCE_URL": "https://your-domain.atlassian.net/wiki",
        "CONFLUENCE_USERNAME": "your.email@domain.com",
        "CONFLUENCE_API_TOKEN": "your_api_token",
        "JIRA_URL": "https://your-domain.atlassian.net",
        "JIRA_USERNAME": "your.email@domain.com",
        "JIRA_API_TOKEN": "your_api_token"
      }
    }
  }
}

Using pip

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "python",
      "args": ["-m", "mcp-atlassian"],
      "env": {
        "CONFLUENCE_URL": "https://your-domain.atlassian.net/wiki",
        "CONFLUENCE_USERNAME": "your.email@domain.com",
        "CONFLUENCE_API_TOKEN": "your_api_token",
        "JIRA_URL": "https://your-domain.atlassian.net",
        "JIRA_USERNAME": "your.email@domain.com",
        "JIRA_API_TOKEN": "your_api_token"
      }
    }
  }
}

Using docker

There are two ways to configure the Docker environment:

Using environment variables directly in the config:

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "mcp/atlassian"],
      "env": {
        "CONFLUENCE_URL": "https://your-domain.atlassian.net/wiki",
        "CONFLUENCE_USERNAME": "your.email@domain.com",
        "CONFLUENCE_API_TOKEN": "your_api_token",
        "JIRA_URL": "https://your-domain.atlassian.net",
        "JIRA_USERNAME": "your.email@domain.com",
        "JIRA_API_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"
      ]
    }
  }
}

The .env file should contain:

CONFLUENCE_URL=https://your-domain.atlassian.net/wiki
CONFLUENCE_USERNAME=your.email@domain.com
CONFLUENCE_API_TOKEN=your_api_token
JIRA_URL=https://your-domain.atlassian.net
JIRA_USERNAME=your.email@domain.com
JIRA_API_TOKEN=your_api_token

Cursor IDE Configuration

To integrate the MCP server with Cursor IDE:

Configure the server:

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

Enter this configuration:

name: mcp-atlassian
type: command
command: uvx 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

Using a Local Development Version

If you've cloned the repository and want to run a local version of mcp-atlassian:

Configure in Claude Desktop:

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "uv",
      "args": [
        "--directory", "/path/to/your/mcp-atlassian",
        "run", "mcp-atlassian",
        "--confluence-url=https://your-domain.atlassian.net",
        "--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

You can use the MCP inspector to debug the server:

npx @modelcontextprotocol/inspector uvx mcp-atlassian

For development installations:

cd path/to/mcp-atlassian
npx @modelcontextprotocol/inspector uv run mcp-atlassian

View logs with:

tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

Development

For local development testing:

Use the MCP inspector (see Debugging)
Test with Claude Desktop or Cursor IDE using the configuration above

Build

Docker build:

docker build -t mcp/atlassian .

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 0.1.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mcp-atlassian 0.1.12
File	Size	Uploaded
mcp_atlassian-0.1.12.tar.gz	131.9 kB	Mar 4, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for mcp-atlassian 0.1.12
File	Interpreter	ABI	Platform	Reset
mcp_atlassian-0.1.12-py3-none-any.whl 22.2 kB Mar 4, 2025	Python 3	none	any	Details

Total release size: 154.1 kB

Release files / mcp_atlassian-0.1.12.tar.gz

Download URL	mcp_atlassian-0.1.12.tar.gz
Size	131.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`29f69b7489836a56401a8c25fc6bd7c9791243bbb44633a9e4ceb5b3e5ff9b3a`
BLAKE2b-256 checksum How to use checksums	`cbbc33b31de6766ec2c187a699c70dd5219fbf209e04250b1fce09c95468d7f0`
Upload date	Mar 4, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.6.0`

Release files / mcp_atlassian-0.1.12-py3-none-any.whl

Download URL	mcp_atlassian-0.1.12-py3-none-any.whl
Size	22.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2e9ecc29afd3b72fbb9f5ba9802300ec86a18385b7e862c6e0b382efd5336f47`
BLAKE2b-256 checksum How to use checksums	`1184754abda4c0a872472449b312d25ecb25b1f00544ec51c1f6cf665c88bf7f`
Upload date	Mar 4, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.6.0`