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  1. Home
  2. πŸ“‚ Browser Automation
  3. Browserless MCP
Browserless MCP logo
Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 5:01:35 PM

Browserless MCP

User RatingsBe the first to rate and review this MCP server!
View Repository7 GitHub StarsTotal stargazers on GitHub for the source repository (7 stars).Visit Website
browser-automationweb-scrapingpuppeteerlighthouse

Browser automation MCP tools for scraping, crawling, search, Lighthouse audits, Puppeteer, and persistent browser sessions.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for browserless/browserless-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (14) Directory Badge Claim listing AlternativesπŸ“‚ More in Browser Automation

Overview

The browserless/browserless-mcp MCP server connects LLM clients to Browserless.io for browser automation, web scraping, search, and browser-session operations. It provides tools for single-page extraction, site mapping and crawling, Lighthouse audits, custom Puppeteer code, exports, and interactive browser control. Use it when an agent needs JavaScript-capable web access, multi-page discovery, authenticated sessions, or Browserless account and request diagnostics. The hosted MCP endpoint uses a Browserless API token, so no local installation is required.

Use cases

β€’Scrape JavaScript-heavy webpages into Markdown or HTML
β€’Crawl websites with depth and path controls
β€’Search the web and optionally extract result pages
β€’Audit URLs with Lighthouse metrics
β€’Automate authenticated browser sessions

Key features

β€’JavaScript-capable webpage scraping
β€’Website mapping and crawling
β€’Web, news, and image search
β€’Lighthouse performance audits
β€’Custom Puppeteer execution
β€’Persistent browser sessions

Capabilities & Tool Schemas (14) ~761 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Browserless MCP.

browserless_smartscraper

Scrape a single webpage and return its content as markdown or HTML. Handles JavaScript-heavy pages and anti-bot measures automatically. For content across multiple pages, use `browserless_crawl`; to list a site's URLs, use `browserless_map`.

browserless_search

Search the web using Browserless and optionally scrape each result. Supports web, news, and image search with geo-targeting and time filters.

browserless_map

Discover and map all URLs on a website. Scans via sitemaps and link extraction. Returns URLs with optional titles and descriptions. Useful for site audits and content discovery.

browserless_crawl

Crawl a website and scrape every discovered page. Supports depth control, path filtering, sitemap strategies, and configurable scrape options. Returns scraped content and metadata for each page.

browserless_performance

Run Lighthouse audits on any URL. Returns scores and metrics for accessibility, best practices, performance, PWA, and SEO. Optionally filter by category or supply performance budgets.

browserless_function

Execute custom Puppeteer JavaScript on the Browserless cloud. The function receives a `page` object and optional `context`; return `{ data, type }` to control the payload and Content-Type.

How Browserless MCP works

What browserless/browserless-mcp does

The browserless/browserless-mcp MCP server exposes Browserless.io capabilities to MCP clients. It is intended for agents that need to retrieve content from modern websites, search the web, inspect site structure, automate browser interactions, or review Browserless activity.

The server covers both direct data collection and interactive workflows. Single-page scraping can return Markdown or HTML, while mapping and crawling support broader site discovery. Browser sessions can be driven through snapshots and ref-based actions, including clicks, typing, scrolling, evaluation, screenshots, multiple tabs, captcha handling, and file transfers.

How it works

The client sends MCP tool calls to Browserless through the hosted endpoint. Browserless executes the browser or API operation and returns the resulting content, metadata, metrics, session information, or account data to the client.

For interactive pages, browserless_agent uses a repeated snapshot, planning, action, and re-snapshot process. browserless_skill supplies recipes for page mechanics such as shadow DOM, cookie notices, modal dialogs, captchas, dynamic content, screenshots, and tabs. Authentication profiles can be listed and then passed to other tools to reuse saved cookies and origins.

Setup and configuration

The browserless/browserless-mcp MCP server is configured with a Browserless API token. Create or obtain the token from Browserless.io, then add the hosted MCP URL to the client configuration:

config.json
{
  "mcpServers": {
    "browserless": {
      "url": "https://mcp.browserless.io/mcp?token=your-token-here"
    }
  }
}

The documented setup runs remotely and does not require a local installation. The README names Claude Desktop, Cursor, VS Code, and Windsurf as supported MCP clients. A free Browserless tier is available, according to the supplied material.

Tools and capabilities

  • browserless_smartscraper extracts one webpage as Markdown or HTML, including JavaScript-heavy pages and pages requiring anti-bot handling.
  • browserless_search performs web, news, or image searches, with optional result scraping, geographic targeting, and time filters.
  • browserless_map discovers URLs through sitemaps and link extraction, optionally returning titles and descriptions.
  • browserless_crawl scrapes discovered pages with controls for depth, path filters, sitemap strategy, and scrape options.
  • browserless_performance runs Lighthouse audits for accessibility, best practices, performance, PWA, and SEO, with optional category filters and performance budgets.
  • browserless_function runs custom Puppeteer JavaScript with a page object and optional context. The returned { data, type } controls the payload and content type.
  • browserless_export retrieves a page through the Browserless export API and detects native output such as HTML, PDF, or images.
  • browserless_agent operates persistent browser sessions and supports multi-tab work, screenshots, captcha solving, live URLs, and upload or download workflows.
  • browserless_profiles, browserless_account, and browserless_usage expose saved authentication profiles, account details, and consumption data.
  • browserless_sessions inspects active, persistent, and recorded sessions and can download a self-contained replay page. browserless_logs reports recent request outcomes, timing, stopping reasons, and cost.

Limitations and notes

The browserless/browserless-mcp MCP server depends on a Browserless API token and the hosted Browserless service. Log history availability depends on the account plan. Account inspection does not return API token values. Browserless usage and session information reflects the account associated with the current token, and authentication profiles must already be saved there before another tool can reuse them.

For multi-page content, use crawling rather than the single-page scraper. Use mapping when the goal is to enumerate URLs without scraping every page. Custom browser behavior requires Puppeteer JavaScript, while more complex interactive page mechanics may require loading a matching skill before or during agent operation.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
7
Stargazers on the source repository.
Last commit
5d ago
Most recent push to the default branch.
Tools exposed
14
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Browserless MCP

browserless/browserless-mcp is an MCP server that connects LLM clients to Browserless.io. Its main tools support webpage scraping, web search, site mapping, crawling, Lighthouse audits, custom Puppeteer execution, exports, and persistent browser automation. It also exposes Browserless profiles, sessions, usage, account details, and request logs.

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Technical Specs & Signals

CategoryπŸ“‚Browser Automation
PricingFreemium
More technical detailsExpand β–Ύ
AuthAPI key
ClientsClaude Desktop, Cursor, VS Code (GitHub Copilot), Windsurf
Last updatedOct 3, 2026
7/7 checks healthy over the last 40d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars7
GitHub Star CountTotal stargazers on GitHub representing community popularity (7 stars).
Last commit5d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 3, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in πŸ“‚ Browser Automation β†’Best MCP servers for Browser Automation β†’Alternatives to Browserless MCP β†’Install in Claude DesktopInstall in CursorInstall in VS CodeSetup guides for all 13 MCP clients