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MCP server · Browser

Auth Fetch

MCP server that lets AI read Notion, Google Docs, Jira & any login-protected page via a real browser

42Fair

Scored 6 months ago · breakdown

About Auth Fetch

Auth Fetch is an MCP server in the Browser category: mCP server that lets AI read Notion, Google Docs, Jira & any login-protected page via a real browser.

Install

Claude Code
claude mcp add auth-fetch -- npx -y auth-fetch-mcp
npx
npx -y auth-fetch-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

auth-fetch-mcp

npm version npm downloads auth-fetch-mcp MCP server

MCP server that lets AI assistants fetch content from authenticated web pages.

When your AI tries to read a URL that requires login, this tool opens a real browser for you to sign in — then captures the page content as cleaned HTML. Sessions are saved locally, so you only log in once per service.

Demo

auth-fetch-mcp demo

Quick Start

Claude Code

claude mcp add --scope user auth-fetch -- npx auth-fetch-mcp@latest

.mcp.json (Cursor, Windsurf, etc.)

{
  "mcpServers": {
    "auth-fetch": {
      "command": "npx",
      "args": ["auth-fetch-mcp@latest"]
    }
  }
}

Chromium is auto-installed on first run if not already present.

How It Works

  1. Ask your AI to read any authenticated page — just paste the URL.
  2. A browser window opens automatically and navigates to the page.
  3. Log in as you normally would (supports SSO, 2FA, CAPTCHA — anything).
  4. Click the "📸 Capture" button in the bottom-right corner when ready.
  5. The page content is captured as cleaned HTML (noise elements stripped, media tags preserved), the browser closes, and your AI receives the content.

Tools

auth_fetch

The primary tool. Fetches page content using a real browser, opening a window for login if needed. Returns cleaned HTML with noise elements (nav, footer, scripts, etc.) stripped and media tags (<img>, <video>, <iframe>) preserved.

Parameter Type Required Description
url string yes The URL to fetch content from
wait_for string no CSS selector to wait for before capturing (useful for SPAs)

download_media

Downloads files from URLs using saved browser sessions. Use this to lazily download images, videos, or other files found in auth_fetch results. The browser's saved cookies handle authentication automatically — no need to log in again.

Parameter Type Required Description
urls string[] yes One or more URLs to download
output_dir string no Directory to save files to (defaults to ~/.auth-fetch-mcp/downloads/<timestamp>/)

Example flow:

1. auth_fetch("https://notion.so/my-page")
   → Returns HTML with <img src="https://s3.notion.so/signed-url..."/> tags

2. AI reads the HTML, identifies an image it needs

3. download_media(["https://s3.notion.so/signed-url..."])
   → Downloads the image using saved session cookies
   → Returns { localPath: "~/.auth-fetch-mcp/downloads/.../file-1.png" }

list_pages

Lists all open tabs in the browser with their URLs and titles.

close_browser

Closes the browser window. Login sessions are saved and will be reused next time.

Data Storage

All data is stored locally under ~/.auth-fetch-mcp/. Nothing is sent to external servers.

What Where When Persistent?
Browser sessions (cookies, local storage) ~/.auth-fetch-mcp/browser-data/ After first login Yes — reused across restarts
Downloaded media files ~/.auth-fetch-mcp/downloads/<timestamp>/ Only when download_media is called Yes — stays until you delete it
Captured page content (HTML) Not saved to disk Passed directly to AI via stdio No — exists only in the AI's context

To clear all data:

# Clear login sessions only
rm -rf ~/.auth-fetch-mcp/browser-data/

# Clear downloaded files only
rm -rf ~/.auth-fetch-mcp/downloads/

# Clear everything
rm -rf ~/.auth-fetch-mcp/

Supported AI Tools

  • Claude Code
  • Cursor
  • Windsurf
  • Any MCP-compatible client using stdio transport

Limitations

  • Requires a local environment (does not work in web-based chat interfaces)
  • First access to each service requires manual login
  • Very long pages are truncated to fit LLM context windows (100K chars)
  • Some sites with aggressive bot detection may not work (try the wait_for option)

Privacy

  • All data stays on your machine — nothing is sent to external servers
  • Captured HTML is never written to disk — it only passes through the stdio pipe to the AI tool
  • Browser sessions are stored locally as a standard Chromium profile
  • Downloaded files go to a local directory you control

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

git clone https://github.com/ymw0407/auth-fetch-mcp.git
cd auth-fetch-mcp
npm install
npm run build

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Auth Fetch

How do I install Auth Fetch?

Run claude mcp add auth-fetch -- npx -y auth-fetch-mcp, then add the server to your MCP client's configuration.

Is Auth Fetch safe to use with an AI agent?

Its trust score is 42 out of 100 (fair). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Auth Fetch still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.