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    A reusable MCP server for QA automation testing that enables running tests across web apps, APIs, CLI tools, and more directly from Claude Desktop.
    5
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    Enables AI agents to programmatically inspect, test, and validate other MCP servers by exposing MCP Workbench capabilities as structured tools. It supports automated test spec generation, execution, and detailed failure analysis to ensure server reliability.
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    9
    Apache 2.0
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    Official MCP server for Qase Test Management Platform. Enables AI assistants to manage test cases, test runs, defects, and other Qase entities through natural language.
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    MIT
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    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.
    40
    MIT
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    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
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    MIT
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    Enables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.
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    1
    MIT
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    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.
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    Apache 2.0
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    A Model Context Protocol (MCP) server that integrates Cypress with Cursor AI, enabling AI-powered test automation, debugging, and script generation for Cypress tests.
    8
    3
    MIT
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    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.
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    Provides programmatic access to BlazeMeter's performance testing platform through MCP tools. Enables users to retrieve test runs, analyze performance data, view error reports, and manage testing resources via natural language interactions.
    8
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    A mock MCP server for testing MCP client implementations and development workflows. Supports tools, prompts, and resources across multiple transport protocols (stdio, HTTP, SSE).
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    MIT
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    Enables automated access to LoadRunner Cloud APIs for retrieving performance test data, managing projects, and collecting test results. Supports integration with AI clients for building performance engineering workflows and dashboards.
    9
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    A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.
    2
    25
    MIT