Puppeteer MCP is the official Model Context Protocol server for browser automation, maintained as part of the MCP reference server collection.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Official MCP reference server, maintained alongside the protocol specification
Biggest con
Limited to basic interactions, no file upload, drag-and-drop, or multi-tab support
TL;DR - Puppeteer MCP
- Official MCP browser automation server using Puppeteer, navigate, click, fill forms, and take screenshots
- Seven tools covering navigation, screenshots, clicks, form fills, dropdowns, and JavaScript execution
- Available via npm as @modelcontextprotocol/server-puppeteer, deploys locally, in Docker, or on Cloudflare
Pricing: Free forever
Best for: Individuals & startups
What is Puppeteer MCP?
Puppeteer MCP is the official Model Context Protocol server for browser automation, maintained as part of the MCP reference server collection. It enables AI assistants to control a real Chromium browser, navigating pages, clicking elements, filling forms, taking screenshots, and executing JavaScript, all through structured MCP tool calls.
The server provides seven core tools: puppeteer_navigate for loading URLs with configurable timeouts, puppeteer_screenshot for capturing full-page or element-specific screenshots, puppeteer_click and puppeteer_hover for element interaction via CSS selectors, puppeteer_fill for populating input fields, puppeteer_select for dropdown menus, and puppeteer_evaluate for running arbitrary JavaScript in the browser context. Console logs are captured and accessible for debugging.
Deployment supports local execution via npx, Docker with headless Chromium, and Cloudflare Workers for cloud environments. Security controls include an allowDangerous parameter that blocks unsafe launch options like --no-sandbox by default. Screenshots and console logs are stored as MCP resources that AI assistants can reference in subsequent interactions. The server is published as @modelcontextprotocol/server-puppeteer on npm and works with Claude Desktop, Claude Code, Cursor, and other MCP-compatible clients.
Available on: Web
Pros & Cons
Pros
- Official MCP reference server, maintained alongside the protocol specification
- Simple seven-tool interface covers the most common browser automation tasks
- Screenshots stored as resources enable visual feedback loops with AI assistants
- Docker and Cloudflare Workers support enable headless cloud deployments
- Security-first defaults prevent accidentally disabling browser sandboxing
Cons
- Limited to basic interactions, no file upload, drag-and-drop, or multi-tab support
- CSS selector requirement means AI must identify correct selectors for each element
- No built-in waiting strategies beyond timeout, flaky on dynamic single-page apps
- Headless mode in Docker may render pages differently than headed browsers
Key Features
Page navigation with configurable timeouts for loading any URLFull-page and element-specific screenshot capture stored as MCP resourcesElement clicking and hovering via CSS selectors with timeout controlsForm filling and dropdown selection for automated input interactionsJavaScript execution in browser context via puppeteer_evaluateConsole log monitoring and capture for debugging automated workflowsMultiple deployment modes, local npx, Docker with headless Chromium, and Cloudflare WorkersSecurity controls blocking unsafe browser launch options by default
Pricing Plans
Pricing checked Aug 28, 2026
Open Source
Free
- Full source code access
- Community support
- Self-hosted
Is Puppeteer MCP worth the price?
95/100
The pricing for Puppeteer MCP is exceptionally fair and generous, as it is entirely free through its Open Source tier.
This makes it an outstanding option for individuals and organizations with the technical capability to self-host and leverage community support. It's best for developers and small teams looking for a cost-free, flexible automation solution.
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Puppeteer MCP FAQ
How does Puppeteer MCP facilitate browser automation for AI assistants?
Puppeteer MCP enables AI assistants to control a real Chromium browser through structured Model Context Protocol (MCP) tool calls. It allows AI to navigate pages, click elements, fill forms, take screenshots, and execute JavaScript, providing a programmatic interface for browser interaction.
Which teams would benefit most from using Puppeteer MCP?
Teams focused on automation, developer tools, and testing & QA would find Puppeteer MCP most beneficial. It provides a standardized way for AI assistants to interact with web browsers, which is useful for automated testing, data extraction, and workflow automation.
How does Puppeteer MCP compare to Browser Use AI?
Puppeteer MCP is maintained as part of the official Model Context Protocol reference server collection, offering a simple seven-tool interface for common browser automation tasks. It focuses on providing a foundational MCP server for AI-driven browser control, while Browser Use AI is a direct competitor in the browser automation space.
What are the main limitations of Puppeteer MCP for complex browser interactions?
Puppeteer MCP is limited to basic interactions and does not support features like file uploads, drag-and-drop, or multi-tab browsing. Additionally, it lacks built-in advanced waiting strategies, which can make it flaky when automating highly dynamic single-page applications.
Can Puppeteer MCP be deployed in cloud environments?
Yes, Puppeteer MCP supports deployment in cloud environments through Cloudflare Workers. It also offers Docker support with headless Chromium for containerized deployments, alongside local execution via npx.
Does Puppeteer MCP include a free tier?
Puppeteer MCP is free to use, as no paid plan is required. It is published as @modelcontextprotocol/server-puppeteer on npm and is available for use without cost.
How does Puppeteer MCP handle security during browser launches?
Puppeteer MCP prioritizes security by default, blocking unsafe launch options like --no-sandbox unless explicitly overridden with an 'allowDangerous' parameter. This ensures that browser sandboxing is maintained, preventing potential security vulnerabilities during automation tasks.
Source: github.com