"Information about Automation Testing" matching MCP servers:

A full-stack API automation testing server that parses OpenAPI/Swagger/Postman/HAR specs, generates comprehensive test scenarios and executable code, and provides AI-powered review and auto-fix.

Provides coding agents with visibility into test health through tools for flaky test detection, test quality linting, and LLM evaluation harness, enabling them to triage failures, review test quality, and check prompt changes for regressions.

MCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.

Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.

Enables programmatic headless browser automation for creating sessions, interacting with pages, browsing, and extracting rendered content, with built-in anti-bot and protected-page support.

Legacy MCP server for console automation that preserves interactive sessions, a 40-tool command/test surface, and legacy protocol adapters for local/remote execution. Intended only for migrations to RunBeacon 3.0.

A sophisticated server that enables AI assistants to automatically analyze codebases and generate comprehensive, professional documentation.

MCP server for automated code review using AI agents. It analyzes code diffs or file paths for bugs, security issues, and style violations.

Enables LLM clients to browse and manage VCF Automation projects, catalog items, and deployments through MCP tools, including provisioning, day-2 actions, and deleting infrastructure.

Exposes AI agents as MCP tools to fetch Jira stories, generate BRDs and Playwright test scripts, run tests, and auto-heal broken locators. Integrates with Claude Desktop and Cursor IDE for enterprise-grade test automation.

MCP-compatible backend that automates ServiceNow incident handling via Microsoft 365 Copilot, offering tools for incident analysis, automation, and job status retrieval.

Enables AI assistants to manage LinkedIn workflows through a comprehensive set of tools for content generation, profile optimization, lead management, message outreach, engagement, analytics, scheduling, and industry research.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables AI-powered marketing campaign management across Google Ads, Facebook Ads, and Google Analytics with automated budget optimization, AI-generated ad copy, audience segmentation, and real-time performance analytics.

Enables users to manage company departments, employees, expenses, and performance ratings through a natural language interface in Claude Desktop. It features 12 specialized tools for comprehensive CRUD operations and AI-powered organizational analysis using Google Gemini.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

A read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.

A comprehensive MCP server that provides powerful web automation tools using Playwright, enabling web scraping, testing, and browser interaction through natural language commands.

An MCP server that enforces unit testing standards by linting code and guiding agentic coding tools (like Gemini CLI or Claude Code) to follow best practices in test-driven development.

A Model Context Protocol server that lets Claude and any other MCP-compatible client work with an OpenText AppWorks Platform tenant in plain English.