Playwright
Empowers Large Language Models (LLMs) to interact with web pages through structured accessibility snapshots using a Model Context Protocol (MCP) server.
About
Playwright MCP is a Model Context Protocol (MCP) server that seamlessly integrates Playwright's robust browser automation capabilities with Large Language Models (LLMs). It transforms how LLMs engage with the web by providing structured accessibility snapshots, thereby eliminating the need for pixel-based input, screenshots, or computationally intensive vision models. This innovative approach ensures fast, lightweight, and deterministic web interactions, making it an ideal solution for developing intelligent agents capable of reliably navigating, understanding, and operating within diverse web environments.
Key Features
- Highly configurable with extensive options for browser type, network settings, viewport, and more.
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- Fast and lightweight browser automation leveraging Playwright's accessibility tree for structured data.
- Supports persistent user profiles, isolated sessions, and connection to existing browser instances via an extension.
- Deterministic tool application that avoids ambiguity common with screenshot-based approaches.
- LLM-friendly design, eliminating the need for vision models and operating purely on structured data.
Use Cases
- Automating complex web workflows for AI-driven tasks without relying on visual analysis.
- Developing AI tools capable of web-based data extraction, form filling, and content manipulation.
- Enabling LLM agents to autonomously browse and interact with websites.