"playwright" matching MCP servers:

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

A server that leverages Playwright for automated browser testing and integrates with Cloudflare Workers, enabling AI assistants to control web browsers for navigation, interaction, and screenshots.

Enables comprehensive browser automation and web interaction through Playwright with 50+ specialized functions for navigation, form filling, data extraction, and Chrome DevTools Protocol support. Designed specifically for AI agents to perform complex web workflows including scraping, testing, and automated browsing tasks.

MCP server for autonomous end-to-end testing with Wopee.io. Analyzes web applications, generates and executes Playwright-based functional tests, and validates results — all driven by natural language commands.

MCP server for browserview.io that lets agents create, inspect, share, and destroy disposable cloud Chromium sessions, and connect via CDP using Playwright or Puppeteer.

Enables coding agents to independently verify web changes by scanning pages, inspecting UI structure, generating Playwright reproductions, and executing tests with structured QA evidence.

Self-healing browser automation MCP server integrating Playwright with LLM-assisted locator repair.

Enables coding agents to drive a real Playwright-backed browser session, navigating, observing, interacting, and capturing proof on web pages via MCP tools across stdio and Streamable HTTP transports.

MCP server for web search and content extraction using DuckDuckGo or SearXNG, with Playwright-based fetching and LLM-powered data extraction.

Enables AI to perform real-browser QA testing on websites via Playwright, finding bugs, accessibility, SEO, and performance issues through natural language conversations.

Enables AI coding agents and humans to collaborate on local, evidence-driven planning by exposing MCP tools for plan listing and binding, workflow catalog/run operations, and task tracking with human-reviewed decisions.

Connect AI agents to your test results, insights, and targets. Query test runs, failures, flaky tests, and regressions across frameworks including Playwright, Jest, Pytest, Cypress and more.

Enables AI agents to interact with the TRON blockchain through browser automation (Playwright) or direct API calls, supporting transfers, staking, swaps, and multi-signature management.

Gives AI agents a single shared, logged-in Chrome they can drive over MCP or plain HTTP: open and read tabs, click, type, upload files, run short Playwright scripts, hand off whole web tasks to a cheaper model, and keep per-site memory. Agents work in background windows they own without stealing the user's mouse or closing their tabs.

A lightweight MCP server for browser automation that gives AI agents navigate, screenshot, and extract tools via a single small binary, without needing Node.js or Playwright. It provides CDP-based browser control with efficient startup and resource usage.

Enables AI coding agents to inspect active authenticated browser sessions and runtime state, capture user breadcrumbs and network/error telemetry, and generate Playwright/Cypress tests or MSW mock handlers through standard MCP tools.

Enables querying Playwright test failure reports and execution results directly from AI assistants, allowing retrieval of test outcomes, failures, and report details.

Enables AI assistants to set up, manage, and analyze visual tests using Applitools Eyes within Playwright JavaScript and TypeScript projects. It supports adding visual checkpoints, configuring cross-browser testing via Ultrafast Grid, and retrieving structured test results.

Enables orchestration of autonomous coding agents (Claude Code, Cursor, etc.) through an objective-native planning board with hash-chained audit trail. Humans define outcomes, agents claim and execute tasks via MCP.