"Creating Playwright Tests by Exploring a Website and Generating Test Cases" matching MCP servers:

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.

Enables querying a dataset of Japanese advertising-law enforcement actions, offering search, retrieval, recent listings, and statistical summaries so models can cite real orders rather than inventing them.

MCP server for managing Apidog test cases, scenarios, suites, and test data, providing full read/write access to Apidog's test management features.

Enables searching, reading, creating, and updating AIO Tests test cases in Jira from any MCP client, supporting Jira Cloud and Server/Data Center with a read-only mode.

Enables MCP clients to manage Tines cases via the Cases v2 API, supporting create, read, update, close, and comment operations. Runs in a container via podman/docker and defaults to read-only for safety.

Detects tests that pass no matter what the code does, revealing vacuous tests that provide false confidence in coverage.

Enables migration of test automation projects from WebDriverIO to Playwright using AST-based transformations. Provides tools for analyzing tests, converting syntax, refactoring to Page Object Model, and generating migration reports.

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.

Enables listing, retrieving, creating, and updating DMCA.com takedown, DIY, and compliance cases, plus fetching site reports, through the DMCA.com API with token authentication. It also supports minting an API token via login and returns upstream JSON responses as-is.

Starter scaffold for a workshop to build an MCP API testing server, intended to be extended through incremental steps.

This MCP server provides a tool to generate manual test cases in Markdown or CSV format from documentation files and custom rules. It supports text and PDF inputs and can leverage LLM sampling to automate the creation of detailed test scenarios.

Enables execution and monitoring of Cucumber.js + Playwright automated tests, including real test runs, status checks, feature discovery, and coverage analysis.

Enables auditing any public website, returning a scored plain-English report that flags issues costing customers, covering speed, phone experience, search visibility, contact options, writing quality, and modernity.

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

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.

B12's model context protocol server for generating websites with AI

Provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.

Provides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.

An automated testing MCP server that converts test cases into a fixed JSON format, runs them case-by-case, and provides a visual report with review support for cases that cannot be automatically judged.

An MCP server that gives AI coding agents the ability to analyze a Python repository's test health: coverage, flaky tests, and ML-based pull-request risk prediction.