Atlassian MCP Server Client

What is Atlassian MCP Server Client?

A command-line client for connecting to Model Context Protocol (MCP) servers, designed to work with Atlassian's official MCP server. It provides an interactive chat interface powered by OpenAI for seamless interaction with remote MCP servers.

How to use Atlassian MCP Server Client?

Install Node.js 18+, clone the repo, run npm install, and set up a .env file with your OpenAI API key. Use npm run dev to connect to the default Atlassian MCP server, or npm run dev <server-url> for a custom server. The interactive chat supports commands like help, list-tools, and exit.

Key features of Atlassian MCP Server Client

• Connects to remote MCP servers via mcp-remote
• Interactive CLI chat interface using OpenAI
• Automatic OAuth handling for Atlassian services
• Discovers and uses tools from the server
• Real-time streaming of AI responses
• Cross-platform (Windows, macOS, Linux)

Use cases of Atlassian MCP Server Client

• Ask natural-language questions about your Atlassian workspace
• Query recent Jira issues through the chat interface
• Search Confluence content with AI assistance
• Interact with any MCP server's tools using natural language
• Test and prototype remote MCP server integrations

FAQ from Atlassian MCP Server Client

What are the prerequisites for using this client?

You need Node.js 18.0.0 or higher, npm, and a valid OpenAI API key set in the .env file.

How do I get an OpenAI API key?

Visit the OpenAI API Keys page (platform.openai.com/api-keys) and create a new key, then copy it into your .env file.

What if OAuth authentication fails during connection?

Ensure you have access to the Atlassian workspace, allow browser popups from the authentication domain, and verify your network connectivity.

What special commands are available in the chat?

You can type help to see commands, list-tools to display available MCP server tools, and exit or quit to close the application.

How can I connect to a custom MCP server instead of Atlassian's?

Run npm run dev <server-url> with your custom server URL (e.g., wss://your-custom-mcp-server.com).