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atlassian-dc-mcp

MCP.Pizza Chef: b1ff

The atlassian-dc-mcp project provides Model Context Protocol (MCP) servers for Atlassian Data Center products including Jira, Confluence, and Bitbucket. It enables real-time, structured context integration from these enterprise tools into LLM-powered applications, facilitating seamless interaction and automation within Atlassian environments. This server supports secure API token usage and easy configuration for Claude Desktop and other MCP clients.

Use This MCP server To

Integrate Jira issues into LLM-driven workflows Fetch Confluence page content for AI summarization Access Bitbucket repositories for code context in models Automate ticket creation and updates via natural language Enable real-time project status queries from Atlassian tools Combine Atlassian data with other enterprise sources in LLMs

README

Atlassian Data Center MCP

This project provides a Model Context Protocol (MCP) integration for Atlassian Data Center products, including Jira, Confluence, and Bitbucket.

Claude Desktop Configuration

Official Anthropic quick start guide

To use these MCP connectors with Claude Desktop, add the following to your Claude Desktop configuration.

Set *_HOST variables only to domain + port without protocol (e.g., your-instance.atlassian.net). The https protocol is assumed.

You can leave only the services you need in the configuration.

macOS:

~/Library/Application Support/Claude/claude_desktop_config.json

Windows:

%APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "atlassian-jira-dc": {
      "command": "npx",
      "args": ["-y", "@atlassian-dc-mcp/jira"],
      "env": {
        "JIRA_HOST": "your-jira-host",
        "JIRA_API_TOKEN": "your-token"
      }
    },
    "atlassian-confluence-dc": {
      "command": "npx",
      "args": ["-y", "@atlassian-dc-mcp/confluence"],
      "env": {
        "CONFLUENCE_HOST": "your-confluence-host",
        "CONFLUENCE_API_TOKEN": "your-token"
      }
    },
    "atlassian-bitbucket-dc": {
      "command": "npx",
      "args": ["-y", "@atlassian-dc-mcp/bitbucket"],
      "env": {
        "BITBUCKET_HOST": "your-bitbucket-host",
        "BITBUCKET_API_TOKEN": "your-token"
      }
    }
  }
}

Generating API Tokens

For Data Center installations, you'll need to generate Personal Access Tokens (PAT) for each service:

Jira Data Center
  1. Log in to your Jira instance
  2. Go to Profile > Personal Access Tokens
  3. Click "Create token"
  4. Give it a meaningful name and set appropriate permissions
  5. Copy the generated token immediately (it won't be shown again)
Confluence Data Center
  1. Log in to your Confluence instance
  2. Go to Settings > Personal Access Tokens
  3. Click "Create token"
  4. Name your token and set required permissions
  5. Save and copy the token (only shown once)
Bitbucket Data Center
  1. Log in to Bitbucket
  2. Go to Manage Account > HTTP access tokens
  3. Click "Create token"
  4. Set a name and permissions
  5. Generate and copy the token immediately

Store these tokens securely and use them in your Claude Desktop configuration as shown above.

Overview

The Atlassian DC MCP allows AI assistants to interact with Atlassian products through a standardized interface. It provides tools for:

  • Jira: Search, view, and create issues
  • Confluence: Access and manage content
  • Bitbucket: Interact with repositories and code

Prerequisites

  • Node.js 18 or higher
  • npm 7 or higher (for workspaces support)
  • Atlassian Data Center instance or Cloud instance
  • API tokens for the Atlassian products you want to use

Installation

Clone the repository:

git clone https://github.com/b1ff/atlassian-dc-mcp.git
cd atlassian-dc-mcp

Development

This project is structured as an npm monorepo using workspaces. The workspaces are organized in the packages/ directory, with separate packages for each Atlassian product integration.

Installing Dependencies

To install all dependencies for all packages in the monorepo:

npm install

This will install:

  • Root-level dependencies defined in the root package.json
  • All dependencies for each package in the workspaces

To install a dependency for a specific package:

npm install <package-name> --workspace=@atlassian-dc-mcp/jira

To install a dependency at the root level:

npm install <package-name> -W

Building the Project

To build all packages:

npm run build

To build a specific package:

npm run build --workspace=@atlassian-dc-mcp/jira

Running in Development Mode

To run a specific package in development mode:

npm run dev:jira     # For Jira
npm run dev:confluence  # For Confluence
npm run dev:bitbucket   # For Bitbucket

Configuration

Create a .env file in the root directory with the following variables:

# Jira configuration
JIRA_HOST=your-instance.atlassian.net
JIRA_API_TOKEN=your-api-token

# Confluence configuration
CONFLUENCE_HOST=your-instance.atlassian.net
CONFLUENCE_API_TOKEN=your-api-token

# Bitbucket configuration
BITBUCKET_HOST=your-instance.atlassian.net
BITBUCKET_API_TOKEN=your-api-token

License

MIT

atlassian-dc-mcp FAQ

How do I configure the atlassian-dc-mcp server for Claude Desktop?
Add the MCP server entries to your Claude Desktop config file with host and API token environment variables as documented.
Can I use the atlassian-dc-mcp server with multiple Atlassian products simultaneously?
Yes, you can configure separate MCP server instances for Jira, Confluence, and Bitbucket within the same environment.
Is the communication with Atlassian APIs secure?
Yes, the server uses API tokens and HTTPS protocol to securely connect to Atlassian Data Center products.
Does atlassian-dc-mcp support real-time data updates?
It provides real-time context access by querying Atlassian APIs on demand during LLM interactions.
Can I extend the atlassian-dc-mcp server to support custom Atlassian plugins?
While primarily designed for core Atlassian APIs, the server can be extended with custom adapters if needed.
What LLM platforms are compatible with atlassian-dc-mcp?
It works with any MCP-compatible client, including OpenAI, Anthropic Claude, and Google Gemini.
How do I handle authentication for multiple Atlassian instances?
Configure separate environment variables for each instance's host and API token in your MCP client configuration.