"Information on Playwright MCP" matching MCP servers:

An MCP server that gives AI agents geometric spatial awareness of web page layouts using Playwright, enabling detection of visual occlusion, layout shifts, and spatial relationships.

Enables AI agents to simulate network failures and test application resilience in Playwright browser sessions.

An MCP server that gives Claude direct control of a real browser via Playwright, enabling AI-driven web testing, autonomous test execution, and live failure analysis through natural language.

An MCP server for running Playwright tests and reading structured results, failed test details, and attachment content, designed for AI agents doing test failure analysis.

An MCP server that unpacks and structures Playwright trace.zip archives so AI agents can perform root-cause analysis on CI failures, with 16 focused tools for inspection, DOM/UI analysis, root-cause analysis, and performance analysis.

Allows LLM agents to query Playwright JSON test results for run summaries and failure information.

Enables AI-powered browser automation controlled through natural language, integrating Playwright with the Model Context Protocol to perform web interactions like navigation, form filling, and screenshots.

Enables browser automation through Playwright using accessibility tree snapshots instead of screenshots. Supports web scraping, form interactions, testing, and connecting to existing browser sessions with logged-in accounts.

Guides users through creating professional Playwright test suites with a step-by-step wizard workflow, including analysis, planning, setup, and implementation.

Enables LLMs to automate web browsers using Playwright through structured accessibility snapshots, allowing interaction with web pages without needing vision models.

Playwright MCP server enables AI-driven Playwright test generation by allowing interaction with web pages and element inspection. Integrated with IDEs like Cursor, it provides real-time context to enhance test accuracy and efficiency.

Supercharges AI-assisted debugging of Playwright tests by parsing trace files to extract failures, action history, network logs, screenshots, and suggesting fixes.

An MCP server that provides structured control of a Playwright browser for QA, scraping, diagnostics, and reproducible browser workflows.

Enables LLMs to perform browser automation tasks including web scraping, taking screenshots, and executing JavaScript using Playwright. It facilitates real-time interaction with web pages and the generation of automated test code.

Enables accessibility testing using Playwright and Axe, allowing users to scan URLs, HTML content, and batches for violations, and summarize results.

An MCP server that automates Playwright-based UI and API testing, supporting test case generation from requirements or API specs, and execution with detailed reports.

An MCP server that enables AI-powered browser automation, web scraping, and testing using Playwright across Chromium, Firefox, and WebKit. It allows users to perform actions like navigation, clicking, typing, and taking screenshots through natural language interfaces.

Enables AI assistants to control web browsers through Playwright automation, providing 50+ tools for navigation, interaction, testing, accessibility audits, and visual testing across Chromium, Firefox, and WebKit.

A template for building a custom Playwright MCP server that enables AI-driven browser automation, translating high-level test intentions into dynamic Playwright actions.

Provides browser automation capabilities for LLMs using Playwright, leveraging structured accessibility snapshots to interact with web pages without needing vision models. It enables tasks like web navigation, data extraction, and automated testing through a lightweight and deterministic toolset.