MCP server for browser automation using Playwright, enabling LLMs to interact with web pages.
MCP-Server-Playwright is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view VikashLoomba/MCP-Server-Playwright --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
This tool lets AI assistants control a real web browser. It can navigate to websites, click buttons, fill forms, take screenshots, and run JavaScript code. It works by connecting to the Model Context Protocol (MCP) so that AI models can perform these actions automatically.
MCP-Server-Playwright is a Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. It enables large language models (LLMs) to interact with web pages, take screenshots, and execute JavaScript in a real browser environment. The server exposes a set of tools that can be called by MCP clients (such as Claude Desktop, Cursor, or other AI assistants) to perform actions like navigating to URLs, clicking elements, filling forms, extracting text, monitoring console logs, and executing custom JavaScript. It supports both headless and headed browser modes, and can be configured to use Chromium, Firefox, or WebKit. The package is available on npm and can be installed via npx or Smithery. It is designed for developers who want to give their AI agents the ability to interact with the web programmatically.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 417 days ago.
294 GitHub stars indicate community interest.
9 open issues signal maintenance load.
MIT license detected.
Automating web testing and form submissions
Taking screenshots of web pages for monitoring or documentation
Extracting data from websites that require interaction (e.g., login, pagination)
Enabling AI assistants to perform web research or fill out forms on behalf of users
Running JavaScript in a browser context to test or scrape dynamic content
Running arbitrary JavaScript in a browser can be a security risk if the input is not sanitized.
Automated browser actions may violate website terms of service; use responsibly.
The server runs with the user's permissions; ensure it is not exposed to untrusted networks.
294
Stars
51
Forks
9
Issues
MIT
License
Framework for building agents that run in the browser, built for Angular and React.
Browser automation CLI built for AI agents — breaks anti-bot walls, supports multi-session parallel execution.
AI-powered browser automation MCP server for Claude Code. Navigate, click, screenshot, test — all from your terminal.
MCP server for browser automation using Playwright, enabling LLMs to interact with web pages.
AI/ML developers integrating browser automation into LLM workflows, QA engineers automating browser tests with AI assistance, Web scrapers needing interactive browser control
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Running arbitrary JavaScript in a browser can be a security risk if the input is not sanitized. Automated browser actions may violate website terms of service; use responsibly.
Similar or complementary options to evaluate include hashbrown, Browser Act Skills, Glance.
Jun 6, 2026
3 security/trust notes recorded.
Setup difficulty is 2/5.