"Setting up an MCP server in Kubernetes" matching MCP servers:

Enables AI assistants to run, list, and analyze Lupa test suites, returning structured JSON results for debugging.

Enables enterprise-grade authentication management with secure credential handling and support for multi-protocol auth, complete with tools for analyzing, setting up, and testing authentication systems.

MCP server for remote debugging of Apps in Toss mini-apps, providing CDP relay and test runner capabilities.

Translation quality evaluation MCP Server powered by xCOMET. Provides quality scoring (0-1), error detection with severity levels, and optimized batch processing for AI-assisted translation workflows.

Enables managing TAPD (Tencent Agile Product Development) bugs, requirements, PRD reviews, and test reports directly from IDE via natural language, with cross-project aggregation and built-in workflows.

Enables AI agents to monitor website performance by scanning sites, retrieving Core Web Vitals, detecting regressions, and receiving AI-powered optimization recommendations.

A reusable MCP server for QA automation testing that enables running tests across web apps, APIs, CLI tools, and more directly from Claude Desktop.

An MCP server that returns random JSON things — people, words, values, coordinates, and an always-empty list.

Enables AI coding agents to create webhook bins, inspect and replay HTTP requests, and stand up mock API endpoints directly from the editor.

Enables AI-powered analysis of mobile app bug videos through screen recordings. Analyzes crashes, UI issues, and unexpected behavior in React Native, iOS, and Android apps to provide root cause identification and code fix suggestions.

An MCP server that enables AI agents to drive Zephyr for Jira (Server/Data Center) test management via ZAPI. It exposes operations for test cycles, folders, executions, test steps, step results, and ZQL search over stdio for use with any MCP client.

This is an unofficial, community-built MCP server for qTest Manager. Not affiliated with or endorsed by Tricentis. Browse projects, modules, and test cases Create/delete test design modules Create and manage test execution cycles Add test cases into execution suites

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Performs vulnerability scans using Trivy to generate Software Bill of Materials (SBOM) in CycloneDX format. It enables automated security auditing and dependency tracking through the Model Context Protocol.

MCP server for QTM4J (QMetry Test Management for Jira) Open API, enabling test case and cycle management via natural language.

An MCP server that lets AI agents launch, interact with, and inspect Textual TUI applications headlessly.

MCP server for EdgeGate that enables setting up edge-AI regression gates on Snapdragon devices directly from Claude Code, Cursor, or Claude Desktop.

AI-native Model Context Protocol (MCP) server for TestRail. Lets Claude, Cursor, Windsurf, and other AI assistants browse projects, create and update test cases, kick off test runs, and record results through natural-language conversation — with strongly-typed tool schemas and per-project custom field validation that helps LLMs generate valid TestRail requests on the first try.

A Model Context Protocol (MCP) server that integrates Cypress with Cursor AI, enabling AI-powered test automation, debugging, and script generation for Cypress tests.

Enables AI assistants to interact with Xray Test Management for both Cloud and Server deployments. Supports test execution, importing results from multiple formats (JUnit, Cucumber, Robot Framework, TestNG), and managing test plans and executions.