atlassian-browser-mcp
MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.
README
<p align="center"> <img src="docs/images/banner.svg" alt="atlassian-browser-mcp banner" width="900"/> </p>
atlassian-browser-mcp
MCP server that wraps the upstream mcp-atlassian toolset with browser-cookie authentication. Cookies are captured from your real Chrome by a bundled Chrome extension — no Playwright, no browser automation. Works for Atlassian Cloud (*.atlassian.net) and Server/Data Center behind corporate SSO (Okta, SAML, etc.) where API tokens are not available.
How it works
Capturing cookies and serving data are separate, and there is no browser automation anywhere — this is what keeps the MCP server from hanging:
- Capture cookies with the Chrome extension. Load
chrome-extension/unpacked. After a one-timeatlassian-cli install-host, open a Jira/Confluence tab and click Sync cookies — cookies for the current tab’s domain go to a local Native Messaging host that writes per-service jars. - The MCP server serves data only. It reads the saved cookies via a custom
requests.Sessionsubclass and never opens a browser. On a missing/expired session it fails fast with anAuthRequiredErrortelling you to re-sync — it does not block.
⚠️ Earlier versions launched a Playwright login browser from inside the server. Because the server is detached and async, that blocked tool calls for minutes (often forever) and could deadlock Playwright's sync API on the event loop. Moving capture to the extension removes that failure mode — and removes the need to read Chrome's on-disk cookie DB, which Chrome 127+ "app-bound" encryption blocks.
The server monkey-patches JiraClient and ConfluenceClient constructors in mcp-atlassian to inject the browser-cookie session, giving full parity with the upstream tool surface.
Files
| File | Purpose |
|---|---|
atlassian_browser_mcp_full.py |
MCP entrypoint. Patches upstream clients, registers atlassian_login tool, runs the MCP server |
atlassian_browser_auth.py |
Shared auth core: BrowserCookieSession, saved-jar loading, write_storage_state/probe_live, SSO detection. Never opens a browser |
atlassian_cli.py + atlassian-cli |
Command-line front-end (install-host, import, Jira/Confluence get/search). See AGENT_USAGE.md |
atlassian_cookie_import.py |
Shared cookie → jar import + liveness probe (CLI and native host) |
atlassian_native_host.py + atlassian-native-host |
Chrome Native Messaging host for one-click Sync |
chrome-extension/ |
Manifest V3 extension: Sync current-tab cookies via native host — see chrome-extension/README.md |
run-atlassian-browser-mcp.sh |
MCP launcher: creates venv, installs deps via uv, runs compatibility check, starts server |
pyproject.toml |
Dependency pins |
Reusing your real Chrome session (the Chrome extension)
Modern Chrome (127+) encrypts cookies with an app-bound key that can't be read off disk, so the reliable way to reuse your Chrome SSO session is the bundled extension — it reads cookies from Chrome's live cookie store, no password or MFA re-prompt:
export JIRA_URL=… CONFLUENCE_URL=…then./atlassian-cli install-host(registers the native host; freezes URLs for Chrome-launched processes).chrome://extensions→ enable Developer mode → Load unpacked → selectchrome-extension/→ reload after install-host.- Open a Jira/Confluence tab, click the extension → Sync cookies.
Cookie jars are never auto-deleted on an auth failure. Jira and Confluence
keep separate jars; on Atlassian Cloud they share one host, so a single sync
covers both. See chrome-extension/README.md for
details and the managed-Chrome caveat.
CLI usage
export JIRA_URL="https://yourco.atlassian.net"
export CONFLUENCE_URL="https://yourco.atlassian.net" # Cloud: same host
./atlassian-cli install-host # once per machine
# then: open Jira/Confluence tab → extension → Sync cookies
./atlassian-cli jira get PROJ-123 --comments
./atlassian-cli jira search 'project = PROJ AND status = "In Progress"'
./atlassian-cli confluence get 123456789 --markdown -o page.md
./atlassian-cli confluence search 'release process' --space DEV
Usage
./run-atlassian-browser-mcp.sh
MCP server configuration
Add to your Claude Code, Cursor, or other MCP client configuration:
{
"mcpServers": {
"atlassian": {
"command": "/path/to/atlassian-browser-mcp/run-atlassian-browser-mcp.sh",
"env": {
"JIRA_URL": "https://yourco.atlassian.net",
"CONFLUENCE_URL": "https://yourco.atlassian.net"
}
}
}
}
The server never opens a browser. Capture cookies once with the extension Sync
(or import); all MCP tool calls then proceed using the saved session, and a
missing/expired session fails fast with a clear re-sync message.
Environment variables
| Variable | Default | Description |
|---|---|---|
JIRA_URL |
(required) | Jira base URL (e.g. https://yourco.atlassian.net) |
CONFLUENCE_URL |
(required) | Confluence base URL (e.g. https://yourco.atlassian.net). For Cloud (*.atlassian.net) the /wiki context path is appended automatically |
ATLASSIAN_BROWSER_AUTH_ENABLED |
true |
Enable browser-cookie auth (set false to fall back to token auth) |
ATLASSIAN_STORAGE_STATE |
./.atlassian-browser-state-{service}.json |
Cookie-jar file. Per-service by default; an explicit value is still namespaced per service |
ATLASSIAN_SSO_MARKERS |
(auto) | Comma-separated URL/text markers for SSO redirect detection. Defaults cover Okta, ADFS, Azure AD, PingOne, Google SAML |
ATLASSIAN_BROWSER_USER_AGENT |
(Chrome 136) | Custom User-Agent string for API requests and liveness probes |
TOOLSETS |
all |
Which upstream toolsets to enable |
Requirements
- Python 3.11+
- uv (for dependency management)
- Google Chrome (or another Chromium-family browser) to run the extension and capture the session
- Network access to your Atlassian instance
Troubleshooting
| Symptom | Cause | Fix |
|---|---|---|
Tools return AuthRequiredError / "not authenticated" |
No saved session (jar missing or expired) | Extension Sync (after install-host), or atlassian-cli import <file> |
import reports HTTP 401/302 (not live) |
Exported cookies are already expired | Sign into Jira/Confluence in Chrome, re-Export, and import again |
No cookies match your hosts on import |
JIRA_URL/CONFLUENCE_URL don't match the exported cookies' domain |
Fix the env vars to point at the same instance you exported from |
| "Load unpacked" is greyed out | Managed/corporate Chrome blocks unpacked extensions | Ask IT to allowlist the extension, or pack & self-host it (see chrome-extension/README.md) |
| "Upstream compatibility check failed" | mcp-atlassian version changed its internal API |
Pin to a compatible version or update the wrapper |
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.