home / mcp / mcp atlassian mcp server
mcp server for atlassian : https://github.com/sooperset/mcp-atlassian
Configuration
View docs{
"mcpServers": {
"arconixforge-mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-p",
"8080:8080",
"-v",
"\"${HOME}/.mcp-atlassian:/home/app/.mcp-atlassian\"",
"ghcr.io/sooperset/mcp-atlassian:latest",
"--oauth-setup",
"-v"
],
"env": {
"JIRA_URL": "https://your-company.atlassian.net",
"CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
"ATLASSIAN_OAUTH_SCOPE": "read:jira-work write:jira-work read:confluence-content.all write:confluence-content offline_access",
"ATLASSIAN_OAUTH_CLOUD_ID": "YOUR_CLOUD_ID_FROM_SETUP_WIZARD",
"ATLASSIAN_OAUTH_CLIENT_ID": "YOUR_OAUTH_APP_CLIENT_ID",
"ATLASSIAN_OAUTH_REDIRECT_URI": "http://localhost:8080/callback",
"ATLASSIAN_OAUTH_CLIENT_SECRET": "YOUR_OAUTH_APP_CLIENT_SECRET"
}
}
}
}MCP Atlassian enables you to connect Jira and Confluence data from Atlassian Cloud or Server deployments to your AI assistant. It supports both Confluence and Jira, with flexible authentication options and deployment methods so you can automate updates, search content, and manage issues across your Atlassian workspace.
Use MCP Atlassian from your AI-enabled IDE or integration to perform tasks like updating Jira from notes, searching Confluence content, filtering Jira issues, or creating and managing documentation. You can operate with Cloud or Server deployments, choose either a direct HTTP-based connection or a local MCP process, and opt for per-user OAuth or server-level tokens. Ensure your Atlassian URLs and credentials are correctly configured for a smooth experience.
Prerequisites: you need Docker installed on your machine. You may also want an IDE integration (Cursor, Claude Desktop, or similar) to connect to the MCP server.
# Pull the pre-built MCP Atlassian image
docker pull ghcr.io/sooperset/mcp-atlassian:latestConfigure MCP Atlassian to connect to your Jira and Confluence instances using one of the provided methods. You can run the server via Docker with OAuth 2.0 flow for Cloud, or bring your own token for BYOT scenarios. The examples below show practical, ready-to-run commands and environment variables you’ll use in your setup.
Keep API tokens and OAuth credentials secure. Use SSL verification in production and disable write operations if you need a read-only setup for auditing. If you encounter authentication failures, verify that your tokens or PATs have the necessary scopes for Jira and Confluence and that the URLs are correct.
Get details of a specific Jira issue by key.
Search Jira issues using JQL.
Create a new Jira issue.
Search Confluence content using CQL.
Retrieve content of a Confluence page.
Create a new Confluence page.