Atlassian (browser SSO)

io.github.GeiserX由 GitHub 账号 GeiserX 发布v1.4.1更新于 Oct 29, 2026

Jira and Confluence behind SSO via your own browser session: every mcp-atlassian tool, no API token

发布方自己的服务:Atlassian Rovo MCP Server

已验证STDIO仅桌面效率与工作流知识与记忆

概览

AI 生成的概览

本地 MCP 服务器,提供完整的 mcp-atlassian Jira 与 Confluence 工具集,用你自己的 SSO 浏览器会话而非 API 令牌完成认证。

可以做什么
  • 查看各服务的登录状态,并给出应展示给用户的登录命令
  • 处理 Jira 事务:搜索、读取、评论、状态流转、冲刺、看板、版本、链接、工时、附件、服务台与表单
  • 处理 Confluence 页面:搜索、读取、评论、标签、附件、历史、模板与权限限制
  • 提供命令行前端,供脚本和代理获取与搜索事务和页面
适用场景
适用于 Jira 或 Confluence Server/Data Center 位于企业 SSO(Okta、SAML 等)之后、无法使用 API 令牌的场景,并希望助手以你本人的身份读取或修改事务与页面。
运行要求
以 PyPI 包形式通过 uvx 在本地以 stdio 运行;需要 Python 3.11+、uv、Google Chrome 以及用于登录的显示环境。为使用的服务设置 JIRA_URL 和/或 CONFLUENCE_URL,并用自带 CLI 为每个服务登录一次以生成已保存的 cookie。可选变量:ATLASSIAN_STORAGE_STATE、ATLASSIAN_BROWSER_AUTH_ENABLED、ENABLED_TOOLS、READ_ONLY_MODE。
安装前请注意
写入类工具以你的 SSO 身份执行,可创建、更新、删除、流转、上传及修改权限限制;可设置 READ_ONLY_MODE=true 或用 ENABLED_TOOLS 收窄范围。保存的 cookie 文件等同于你的 Atlassian 会话凭据。在 macOS 上它可能读取浏览器的钥匙串密钥以复用现有会话,并会在 stderr 中说明,此功能可关闭。从 Chrome 配置播种会复制会话数据。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Atlassian (browser SSO),将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

[atlassian-browser-mcp banner]

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:

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

bash
git clone https://github.com/GeiserX/atlassian-browser-mcp.git && cd atlassian-browser-mcpUV_PROJECT_ENVIRONMENT=.venv-atlassian-browser uv sync --frozen   # installs the versions in uv.lockJIRA_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

bash
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)

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)

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)

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

ToolWhat it doesHints
atlassian_auth_statusWhether each service's saved session exists and works: jar age, cookie expiry, a live check, the next stepread-only
atlassian_loginThe exact atlassian-cli login <service> command to show the userread-only
jira_* (63)Every upstream Jira tool: issues, search, comments, transitions, sprints, boards, versions, links, worklogs, attachments, service desk, forms38 read-only, 25 write
confluence_* (35)Every upstream Confluence tool: pages, search, comments, labels, attachments, history, templates, restrictions20 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

来源:README.md,提交 c99b132

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.4.1最新Oct 29, 2026

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