What is Mcp Atlassian Sprint

mcp-atlassian-sprint is an MCP server designed to integrate Atlassian products, specifically Confluence and Jira. It supports both Atlassian Cloud and Server/Data Center deployments.

Use cases

Use cases for mcp-atlassian-sprint include automating project tracking in Jira while documenting processes in Confluence, synchronizing data between the two platforms, and enhancing team collaboration through integrated workflows.

How to use

To use mcp-atlassian-sprint, first set up authentication by generating API tokens for either Atlassian Cloud or Server/Data Center. Then, install the server using methods such as Homebrew, pip, or Docker. Finally, configure the server with the necessary command line arguments for your specific use case.

Key features

Key features of mcp-atlassian-sprint include full support for Confluence and Jira on both Cloud and Server/Data Center, easy installation methods, and flexible configuration options to suit various use cases.

Where to use

mcp-atlassian-sprint can be used in software development environments, project management, and collaborative documentation where integration between Confluence and Jira is needed.

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

Compatibility

Setup Guide

1. Authentication Setup

First, generate the necessary authentication tokens:

For Atlassian 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

For Server/Data Center

1. Go to your profile (avatar) → Profile → Personal Access Tokens
2. Click Create token, name it, set expiry
3. 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 [email protected] \
  --confluence-token your_api_token \
  --jira-url https://your-company.atlassian.net \
  --jira-username [email protected] \
  --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",
        "[email protected]",
        "--confluence-token=your_api_token",
        "--jira-url=https://your-company.atlassian.net",
        "[email protected]",
        "--jira-token=your_api_token"
      ]
    }
  }
}

{
  "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"
      ]
    }
  }
}

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

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

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

Cursor IDE Setup

1. Open Cursor Settings
2. Navigate to Features > MCP Servers
3. 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 [email protected] --confluence-token=your_api_token --jira-url=https://your-company.atlassian.net [email protected] --jira-token=your_api_token

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

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",
        "[email protected]",
        "--confluence-token=your_api_token",
        "--jira-url=https://your-domain.atlassian.net",
        "[email protected]",
        "--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.