"Information about playwrights or the Playwright testing framework" matching MCP servers:

Enables comprehensive WCAG 2.0/2.1 accessibility testing of web applications using Playwright and axe-core. Supports natural language element finding, auto-discovery of interactive components, and generates detailed compliance reports with screenshots.

Code-aware browser testing agent — reads your codebase, understands functionality, tests every element, reports with screenshots. Works as MCP server for Cursor/Claude Code or standalone CLI.

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.

MCP server that enables AI agents to programmatically run tests, query results, and receive intelligent recommendations about test execution strategy.

Enables AI assistants to write and debug integration tests by providing live access to DOM structure and executing code directly in test environments.

MCP server for testing GitHub Actions workflows locally using nektos/act.

Enables accessibility testing of websites and HTML content using axe-core and IBM Equal Access engines. Supports WCAG compliance checking, multi-viewport testing, and provides detailed violation reports with remediation guidance.

Enables automated testing and coverage reporting for MCP services with test execution, file generation, and mock service creation. Provides comprehensive testing infrastructure including Jest integration, coverage reports, and health checks for the MCP ecosystem.

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.

A lightweight, local-first MCP server for executing HTTP requests and managing API collections and environments without cloud dependencies. It enables testing APIs, handling authentication, and importing OpenAPI specifications directly within MCP-compatible workflows.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

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.

Provides browser automation capabilities for LLM applications, enabling web page interaction and data extraction via Playwright.

An MCP server that executes tox commands to run Python tests within a project using pytest, allowing users to run all tests or specific test groups, files, cases, or directories.

Token-optimized Playwright MCP server that reduces context window usage by 73.8% by grouping 22 tools into 6 semantic operations, enabling AI assistants to control browsers with minimal token overhead.

A configurable MCP server that enables creating custom analysis tools through JSON configuration, with built-in frameworks for error handling, self-evaluation, security guardrails, and output artifacts.

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

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

A local MCP server that parses Robot Framework output.xml files, scores and groups failures, and exposes structured triage data to Claude Desktop and Claude Code.

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.