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MCP Atlassian

by samwang0723
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TypeScript
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Integrations

  • Provides tools for interacting with Atlassian products (Confluence and Jira) through a standardized interface

  • Allows searching content, getting spaces, retrieving content, and listing pages in Confluence

  • Enables searching issues, getting issue details, listing projects, and more in Jira

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

This server cannot be installed

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security - not tested
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license - not found
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

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.

  1. Overview
    1. Prerequisites
      1. Installation
        1. Standard Installation
        2. Docker Installation
      2. Usage
        1. Starting the Server
        2. Available Tools
      3. Development
        1. Project Structure
        2. Building
        3. Testing
        4. Makefile Commands
      4. License
        1. Contributing

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