puppeteer-mcp-claude

A Model Context Protocol server that gives Claude Code (and any other MCP-aware client) a real browser via Puppeteer — navigate pages, click and type, run JavaScript, capture screenshots, manage cookies, intercept requests.

Requirements

• Node.js ≥ 18
• An MCP-aware client (Claude Code, Claude Desktop, Cursor, Codex CLI, …)
• Chromium is downloaded automatically by Puppeteer on first install (~170 MB)

Install

macOS / Linux

curl -fsSL https://raw.githubusercontent.com/jaenster/puppeteer-mcp-claude/main/install.sh | bash

Windows (PowerShell)

iwr -useb https://raw.githubusercontent.com/jaenster/puppeteer-mcp-claude/main/install.ps1 | iex

Both scripts verify Node ≥ 18, install the package globally via npm, and register it with Claude Code at user scope. Override scope with SCOPE=project (bash) or $env:SCOPE='project' (PowerShell).

Manual — if you'd rather not run a remote script:

npm install -g puppeteer-mcp-claude
claude mcp add puppeteer-mcp-claude -- npx -y puppeteer-mcp-claude serve

Then restart Claude Code and ask: "Take a screenshot of example.com".

Tools

You don't have to call puppeteer_launch first — the browser auto-launches with defaults the moment any other tool runs. Page ids default to "default", so single-tab flows can omit pageId entirely.

| Tool | What it does | |-|-| | puppeteer_launch | (Optional) launch a browser or connect to an existing Chrome via browserWSEndpoint. Use this for stealth mode, proxies, custom viewport, etc. | | puppeteer_new_page | Open a new tab. | | puppeteer_navigate | Go to a URL. | | puppeteer_click | Click a CSS selector. | | puppeteer_type | Type into an input. | | puppeteer_get_text | Read textContent of an element. | | puppeteer_screenshot | Capture a PNG — returned inline as an MCP image block, optionally also saved to disk. | | puppeteer_evaluate | Run a JS expression in page context, returns the value. | | puppeteer_wait_for_selector | Wait until an element appears. | | puppeteer_close_page | Close a tab. | | puppeteer_close_browser | Close the whole browser. | | puppeteer_set_cookies / puppeteer_get_cookies / puppeteer_delete_cookies | Cookie jar management. | | puppeteer_set_request_interception | Block resources by type or inject request headers. |

Response format

Every tool returns its result in two parallel forms:

• content[0].text — TOON (Token-Oriented Object Notation), a compact, schema-aware JSON alternative. Good for hosts that pipe the text body straight into the model's context.
• structuredContent — the same data as a typed JSON object, for MCP clients that prefer machine-readable output.

Which one your host uses is up to the host — both are MCP-spec-compliant. Typed clients that want the object without depending on structuredContent can import { decode } from '@toon-format/toon' and parse content[0].text.

Examples

How an LLM would typically drive this server — each example shows the prompt you'd give Claude and the tool sequence it produces.

Take a screenshot of a site

"Take a screenshot of news.ycombinator.com."

puppeteer_navigate { url: "https://news.ycombinator.com" }
puppeteer_screenshot { fullPage: true }

Returns the PNG as an inline image block (Claude sees it directly), plus structured { bytes, path: null, fullPage: true }.

Scrape article titles

"Give me the titles of the top 10 stories on Hacker News as a markdown list."

puppeteer_navigate { url: "https://news.ycombinator.com" }
puppeteer_evaluate { script: "[...document.querySelectorAll('.titleline > a')].slice(0,10).map(a => a.textContent)" }

Claude formats the resulting array into the requested markdown list.

Fill a form

"On example.com, fill the search box with 'TOON' and submit."

puppeteer_navigate { url: "https://example.com" }
puppeteer_type   { selector: "input[name=q]", text: "TOON" }
puppeteer_click  { selector: "button[type=submit]" }
puppeteer_wait_for_selector { selector: ".results" }
puppeteer_get_text { selector: ".results h1" }

Reuse an existing logged-in browser

"Connect to my running Chrome and take a screenshot of the GitHub dashboard."

# In one terminal
puppeteer-mcp-claude chrome 9222
# Sign in to GitHub once in the launched Chrome window.

puppeteer_launch { browserWSEndpoint: "ws://localhost:9222" }
puppeteer_navigate { url: "https://github.com" }
puppeteer_screenshot {}

Avoids re-doing login flows in every session.

Block images for faster scraping

"Scrape the article text from as quickly as possible."

puppeteer_set_request_interception { enable: true, blockResources: ["image","media","font","stylesheet"] }
puppeteer_navigate { url: "<url>" }
puppeteer_get_text { selector: "article" }

CLI

puppeteer-mcp-claude install [--scope user|project|local]   Register with Claude Code
puppeteer-mcp-claude uninstall [--scope ...]                Remove from Claude Code
puppeteer-mcp-claude status                                 Show "claude mcp list"
puppeteer-mcp-claude serve                                  Run the MCP server on stdio
puppeteer-mcp-claude chrome [port] [userDataDir]            Launch Chrome with remote debugging
puppeteer-mcp-claude help                                   Show help

Development

pnpm install
pnpm build
pnpm test           # node:test via tsx, ~165 tests
pnpm dev            # run the server directly from src/

Other MCP servers I maintain

• remote-shell-mcp — persistent SSH, SFTP, port forwarding, and Docker over MCP. Long-running daemon so sessions, tunnels, and PTY shells survive across Claude Code / Claude Desktop / Cursor / Codex CLI restarts.
• node-debugger-mcp — real Node.js debugger over MCP. Breakpoints, stepping, scope inspection, eval, source-map-aware BPs, child-process and worker-thread auto-attach. Speaks the V8 Inspector Protocol.

Links

• npm package
• Issues
• Changelog
• Model Context Protocol docs

License

MIT