"Tools or techniques for controlling a browser to test code changes" matching MCP servers:

An MCP server that fuses Playwright and browser-use for browser automation testing, offering 59 tools for AI-driven exploration and precise assertions on a shared browser instance, with built-in stealth anti-detection.

MCP server providing code review, auto-fix, test running, linting, formatting, and refactor suggestions for Claude Code.

Enables AI to perform peer review of its own code changes by displaying annotated diffs with inline comments in a VS Code/Cursor panel. The AI can analyze its modifications and provide explanations directly alongside the changed code, similar to human code review workflows.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Self-healing test automation MCP server that diagnoses and fixes issues in mobile and web apps, including a one-command vibe-check to prioritize broken functionality.

MCP server that performs mutation testing and diff scoping to score how trustworthy tests are for detecting regressions in changed code.

A lightweight MCP test server for verifying client connectivity, providing tools, resources, and prompts for integration.

A minimal MCP server that tests Authgear's Dynamic Client Registration and resource-indicator flow, verifying JWTs bound to a specific resource.

MCP server for automated Godot 4 game testing. Enables launching games, capturing errors, and verifying changes from Claude Code or any MCP client.

A TypeScript-based test implementation for the Model Context Protocol (MCP) with example configurations and Jest test cases. Provides a development foundation for building and testing MCP server functionality.

Enables testing real-time MCP notifications that appear as VS Code popups, demonstrating standalone log messages.

A demo MCP server for testing and debugging tools, providing tools to get launches and trending words.

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.

An intelligent MCP toolset for software testers that monitors code changes, analyzes test impact, recommends tests, and assesses risk, supporting multiple AI coding frameworks via dual transport modes.

Gives AI agents a compact, semantic interface to the browser, returning structured page snapshots with stable element IDs instead of raw DOM. Enables agents to navigate, interact, and extract information from web pages efficiently.

Test coverage intelligence MCP server for TypeScript and JavaScript projects. Analyzes coverage reports to find untested functions, computes cyclomatic complexity, and suggests test cases locally.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

A specialized testing harness that enables AI assistants to thoroughly test other MCP servers by connecting to them, discovering their tools/resources/prompts, executing test calls, and performing end-to-end validation with LLM integration.

Contract-driven test enforcement and reporting for LLM-generated code via MCP, VS Code, Copilot CLI, Claude, Cursor, or Python SDK.