MCP Atlassian

MCP Atlassian

An MCP server that enables AI agents to interact with Atlassian products (Confluence and Jira) for content management, issue tracking, and project management through a standardized interface.

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MCP Atlassian

A Model Context Protocol (MCP) server that provides tools for interacting with Atlassian products (Confluence and Jira).

Overview

This MCP server allows AI agents to interact with Atlassian products through a standardized interface. It provides tools for:

  • Confluence: Search content, get spaces, retrieve content, and list pages
  • Jira: Search issues, get issue details, list projects, and more

Prerequisites

  • Node.js (v16 or higher)
  • npm or yarn
  • Atlassian account with API token
  • Docker (optional, for containerized deployment)

Installation

Standard Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/mcp-atlassian.git
    cd mcp-atlassian
    
  2. Install dependencies:

    npm install
    # or using make
    make install
    
  3. Create a .env file in the root directory with your Atlassian credentials:

    ATLASSIAN_HOST=https://your-domain.atlassian.net
    ATLASSIAN_EMAIL=your-email@example.com
    ATLASSIAN_API_TOKEN=your-api-token
    

Docker Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/mcp-atlassian.git
    cd mcp-atlassian
    
  2. Create a .env file as described above.

  3. Build and run the Docker container:

    # Build the Docker image
    make docker-build
    
    # Run the Docker container
    make docker-run
    
    # Or use Docker Compose
    make docker-compose
    

Usage

Starting the Server

# Using npm
npm start

# Using make
make start

# Using Docker
make docker-run

This will start the MCP server, which will listen for requests on stdin and respond on stdout.

Available Tools

Confluence Tools

  • search-confluence: Search for content in Confluence using CQL

    • Parameters: query (string)
  • get-confluence-space: Get information about a specific Confluence space

    • Parameters: spaceKey (string)
  • get-confluence-content: Get specific content by ID

    • Parameters: contentId (string)
  • get-confluence-pages: Get all pages in a space

    • Parameters: spaceKey (string), limit (number, optional)

Jira Tools

  • search-jira-issues: Search for issues using JQL

    • Parameters: jql (string), maxResults (number, optional)
  • get-jira-issue: Get a specific issue by key

    • Parameters: issueKey (string)
  • get-jira-projects: Get all projects

    • Parameters: none
  • get-jira-project: Get a specific project by key

    • Parameters: projectKey (string)
  • get-jira-issue-types: Get all issue types

    • Parameters: none

Development

Project Structure

src/
├── config/         # Configuration files
├── examples/       # Example usage
├── services/       # Service classes for Atlassian APIs
│   ├── confluence.ts
│   └── jira.ts
├── tools/          # MCP tools
│   ├── search-confluence.ts
│   ├── get-confluence-space.ts
│   ├── get-confluence-content.ts
│   ├── get-confluence-pages.ts
│   ├── search-jira-issues.ts
│   ├── get-jira-issue.ts
│   ├── get-jira-projects.ts
│   ├── get-jira-project.ts
│   ├── get-jira-issue-types.ts
│   ├── utils.ts
│   └── index.ts
└── index.ts        # Main entry point

Building

# Using npm
npm run build

# Using make
make build

Testing

# Using npm
npm test

# Using make
make test

Makefile Commands

The project includes a Makefile to simplify common operations:

# Display available commands
make help

License

MIT

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

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