MCP-DOCKER-Atlassian

What is MCP-DOCKER-Atlassian?

MCP-DOCKER-Atlassian is a Docker-based setup for the MCP Atlassian integration, designed to work with VS Code's Copilot MCP extension. It provides access to Confluence and Jira resources via the Model Context Protocol.

How to use MCP-DOCKER-Atlassian?

Clone the repository, copy and edit the .env file with your Atlassian credentials, make the scripts executable, then run ./start-mcp.sh to start the server. Add the SSE endpoint (http://localhost:9001/sse) to your VS Code settings.json. Stop the server with ./stop-mcp.sh.

Key features of MCP-DOCKER-Atlassian?

• Docker-based deployment for easy setup
• Access Confluence and Jira via MCP
• Integrates with VS Code Copilot Chat
• Includes diagnostic and management scripts
• Resolves previous type checking issues
• Uses SSE transport for VS Code integration

Use cases of MCP-DOCKER-Atlassian?

• Search Confluence spaces for content
• Retrieve specific Confluence pages by title
• Fetch and display Jira issue details
• Query Jira projects with JQL
• Filter Confluence results by space

FAQ from MCP-DOCKER-Atlassian

What transports are supported?

The server uses SSE (Server-Sent Events) transport, configured via the MCP_TRANSPORT environment variable.

What are the prerequisites?

Docker installed and running, Visual Studio Code with the Copilot Chat extension, and an Atlassian Cloud account with an API token.

How do I stop the server?

Run ./stop-mcp.sh from the repository directory.

What if I have SSE connection issues?

Ensure the Docker container is running (docker ps | grep mcp-atlassian), check container logs (docker logs mcp-atlassian), and verify port accessibility (curl http://localhost:9001/health).

Where do I generate my API token?

At https://id.atlassian.net/manage-profile/security/api-tokens. Save it securely as it cannot be viewed again after creation.