Atlassian Browser

atlassian-browser-mcp

CI License Python 3.11+ mcp-atlassian GeiserX/atlassian-browser-mcp MCP server

MCP server that wraps the upstream mcp-atlassian toolset with browser-cookie authentication via Playwright, for Atlassian Server/Data Center instances behind corporate SSO (Okta, SAML, etc.) where API tokens are not available. It runs locally over stdio: you log in once with the bundled CLI, and the server reuses the cookies.

Features

• Every mcp-atlassian Jira and Confluence tool, authenticated with your SSO browser session instead of an API token, with upstream's own network hardening (SSRF redirect checks, DNS pinning, retries, rate limits, proxy and TLS settings) kept in force.
• One login per service with the CLI; the server itself never opens a browser, so it never hangs waiting for one.
• atlassian_auth_status tells an agent which service needs a login before it fails mid-task.
• Optional one-time seeding of the automation profile from your real Chrome profile (ATLASSIAN_SEED_FROM_CHROME_PROFILE), so the first login is often one click.
• On macOS, reuses a live session from an installed Chromium-family browser (Arc, Brave, Edge, Chrome and others) without opening a window. It reads that browser's Keychain key, says so on stderr, and can be turned off.
• Separate cookie jars for Jira and Confluence, holding only that host's cookies, mode 0600. Jira-only or Confluence-only setups work.
• A command-line front-end (atlassian-cli) for scripts and agents: get and search issues and pages.
• Falls back to token auth with ATLASSIAN_BROWSER_AUTH_ENABLED=false.

Quick start

From PyPI, with uv installed:

JIRA_URL=https://jira.example.com uvx --from atlassian-browser-mcp atlassian-cli login jira   # once per service, opens your browser
CONFLUENCE_URL=https://confluence.example.com uvx --from atlassian-browser-mcp atlassian-cli login confluence
JIRA_URL=https://jira.example.com CONFLUENCE_URL=https://confluence.example.com uvx atlassian-browser-mcp

From a checkout, with the exact versions in uv.lock:

git clone https://github.com/GeiserX/atlassian-browser-mcp.git && cd atlassian-browser-mcp
UV_PROJECT_ENVIRONMENT=.venv-atlassian-browser uv sync --frozen   # installs the versions in uv.lock
JIRA_URL=https://jira.example.com CONFLUENCE_URL=https://confluence.example.com ./atlassian-cli login jira   # once per service

Needs Python 3.11+, uv, Google Chrome and a display for the login. The server never opens a browser window. It reads the saved cookies; when they are missing or expired it returns an AuthRequiredError asking you to run the login again, and on macOS it also looks for a live session in your installed browsers in the background, so a retry a few seconds later may already work. Seeding from Chrome and every setting are in Getting started.

Add it to your client

Every client runs the server over stdio. Set only the URL of a service you use. The examples use the PyPI package through uvx; from a checkout, replace uvx atlassian-browser-mcp with /path/to/atlassian-browser-mcp/run-atlassian-browser-mcp.sh.

Claude Code

claude mcp add --transport stdio atlassian \
  --env JIRA_URL=https://jira.example.com \
  --env CONFLUENCE_URL=https://confluence.example.com \
  -- uvx atlassian-browser-mcp

Claude Desktop (claude_desktop_config.json) and Cursor (~/.cursor/mcp.json or .cursor/mcp.json)

{
  "mcpServers": {
    "atlassian": {
      "command": "uvx",
      "args": ["atlassian-browser-mcp"],
      "env": {
        "JIRA_URL": "https://jira.example.com",
        "CONFLUENCE_URL": "https://confluence.example.com"
      }
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "atlassian": {
      "type": "stdio",
      "command": "uvx",
      "args": ["atlassian-browser-mcp"],
      "env": {
        "JIRA_URL": "https://jira.example.com",
        "CONFLUENCE_URL": "https://confluence.example.com"
      }
    }
  }
}

Codex (~/.codex/config.toml)

[mcp_servers.atlassian]
command = "uvx"
args = ["atlassian-browser-mcp"]
env = { JIRA_URL = "https://jira.example.com", CONFLUENCE_URL = "https://confluence.example.com" }

Protocol. Speaks MCP 2025-11-25, 2025-06-18, 2025-03-26 and 2024-11-05 over stdio, which covers clients that open with an initialize handshake (Claude Code, Claude Desktop, Cursor and VS Code today). MCP 2026-07-28 is not supported yet: upstream mcp-atlassian pins mcp<2 and fastmcp<4 (https://github.com/sooperset/mcp-atlassian/issues/1541), and this server follows as soon as upstream moves. It runs on stdio only and refuses to start with any other FASTMCP_TRANSPORT.

Read-only mode

Write tools act as you, with your SSO identity. To hide all of them (create, update, delete, transition, upload, restrictions), set READ_ONLY_MODE=true in the server's env. Upstream enforces it when listing and when calling. ENABLED_TOOLS (a comma-separated allow-list of tool names) and TOOLSETS narrow the list further; see Configuration.

Tools

Tool	What it does	Hints
atlassian_auth_status	Whether each service's saved session exists and works: jar age, cookie expiry, a live check, the next step	read-only
atlassian_login	The exact atlassian-cli login <service> command to show the user	read-only
jira_* (63)	Every upstream Jira tool: issues, search, comments, transitions, sprints, boards, versions, links, worklogs, attachments, service desk, forms	38 read-only, 25 write
confluence_* (35)	Every upstream Confluence tool: pages, search, comments, labels, attachments, history, templates, restrictions	20 read-only, 15 write

Every tool carries a title and all four annotation hints (read-only, destructive, idempotent, open-world), so clients can auto-approve reads and confirm writes. The full list and the CLI are in Usage.

Documentation

• Getting started: requirements, install, the first login, seeding from Chrome, the MCP client config
• Configuration: every environment variable and its default
• Usage: the MCP tools and the CLI commands
• How it works: why login and serving are separate processes, and the files
• Troubleshooting: symptoms, causes, fixes, and what to put in a bug report

License

GPL-3.0-or-later