MCP Server By TestMu AI

LambdaTest 即 TestMu AI

TestMu AI MCP Server 用于智能体测试

借助 TestMu AI 的 MCP 服务器，在 Cursor、Claude、Copilot 及其他 MCP 客户端中使用自然语言，直接从您的 IDE 运行、调试和分类测试，该服务器为 HyperExecute、Automation、SmartUI 和 Accessibility 工具提供支持。

立即试用发布说明

任何 AI 客户端均可使用 TestMu AI 的 MCP

使用 TestMu AI MCP 服务器与任何 AI 助手一起运行、调试和分类测试。
选择您的 AI 客户端，几分钟内即可完成设置。

Cursor

在编辑器内用简单的英语生成配置、运行套件、调试失败并分类结果。

进行设置

Claude Code

在终端内用简单的英语生成配置、运行套件、调试失败并分类结果。

进行设置

GitHub Copilot

在 VS Code 聊天中用简单的英语生成配置、运行套件、调试失败并分类结果。

进行设置

OpenAI Codex

从命令行用简单的英语生成配置、运行套件、调试失败并分类结果。

进行设置

Antigravity

从智能体面板用简单的英语生成配置、运行套件、调试失败并分类结果。

进行设置

TestMu AI（前身为 LambdaTest）内置的 MCP 服务器

使用自然语言，借助 HyperExecute、Automation、Accessibility 和 SmartUI MCP 工具，从您的 IDE 运行、调试和分类测试。

使用 Google 免费开始

HyperExecute MCP 工具Automation MCP 工具Accessibility MCP 工具SmartUI MCP 工具

使用 HyperExecute MCP 进行测试编排

TestMu AI 的 HyperExecute MCP 消除了手动编写 YAML 和切换仪表板的需要。通过自然语言从您的 IDE 生成 YAML 配置、运行器命令并监控作业。

探索 HyperExecute MCP

generateHyperExecuteYAML： 为测试项目执行生成 YAML 配置。

answerHyperExecuteQuery： 从 HyperExecute 文档获取即时答案。

getHyperExecuteJobInfo： 检索给定测试运行的详细作业级信息。

getHyperExecuteJobSessions： 获取链接到 HyperExecute 作业的所有会话详情。

使用 Automation MCP 进行测试失败分类

TestMu AI 的 Automation MCP 通过将 TestID 详情、命令日志、网络日志和控制台错误整合到一个聊天中，加速测试失败分类，以便进行即时根因分析。

探索 Automation MCP

Automation Test Details： 检索特定测试的全面信息。

Automation Command Logs： 访问所有 Selenium 命令的执行日志。

Automation Network Logs： 分析测试期间的浏览器流量和网络行为。

Automation Console Logs： 查看浏览器控制台输出，包括错误和警告。

upload_app 工具： 上传移动应用以进行测试。

使用 Accessibility MCP 进行 WCAG 和 a11y 审计

TestMu AI 的 Accessibility MCP 通过返回包含即用修复指南的详细审计报告，在 WCAG 和 a11y 违规问题进入生产环境之前将其捕获。

探索 Accessibility MCP

getAccessibilityReport： 获取任何公共 URL 的无障碍性报告。

buildLocalAppForAnalysis： 构建并启动本地 React 应用以检测无障碍性问题。

analyseAppViaTunnel： 通过 TestMu AI 隧道分析本地应用测试的无障碍性失败。

使用 SmartUI MCP 进行视觉回归调试

TestMu AI 的 SmartUI MCP 通过在您的 IDE 中用简单的英语解释像素、布局、DOM 和感知变化，减少了视觉回归调试中的人工差异调查。

探索 SmartUI MCP

getSmartUIResources： 获取比较运行的所有视觉资源。

summarizeSmartUIPixelDiff： 识别并解释截图之间的原始像素差异。

summarizeSmartUILayoutDiff： 检测间距、对齐和尺寸相关的布局问题。

summarizeSmartUIDomDiff： 描述 DOM 结构和属性的变化。

analyzeSmartUIHumanDiff： 模拟人类如何感知视觉变化。

analyzeSmartUIRun： 提供跨所有分析层的完整调试摘要。

getSmartUIScreenshotInfo： 检索有关 SmartUI 截图的元数据和详细信息。

downloadSmartUIDomFiles： 下载 DOM 结构文件以进行更深入的分析。

AI 智能体质量工程

AI 原生智能体，可在浏览器、10,000 多台真实设备以及您的 CI 流水线中从 IDE 规划、编写、运行和分类测试。

智能体测试

KaneAI

浏览器测试

真实设备云

应用自动化

HyperExecute

视觉 UI 测试

无障碍性测试

智能体测试

测试 AI 智能体，例如聊天机器人、语音助手等。

更多关于智能体测试

自主测试

从合成最终用户的角度对被测智能体进行详细分析。

多角色模拟

多样化的用户角色，如国际呼叫者、数字新手等。

风险评分与回归

对被测智能体进行端到端回归测试并提供洞察。

KaneAI by TestMu AI

使用自然语言规划、编写和演进端到端测试。

自然语言

通过简单描述编写测试，无需脚本，无需代码，只需简单的英语。

测试场景生成

从文本、JIRA 工单、PRD、图像和电子表格生成结构化测试用例。

测试编写

使用 KaneAI 为您的网站和 Web 应用跨桌面和移动设备编写浏览器测试。

浏览器测试

在 3000 多种浏览器-操作系统-设备组合上快速验证您的网站。

响应式测试

检查您的网站如何在桌面、平板和移动设备的不同视口上呈现。

DevTools 调试

使用预装的 Chrome 和 Safari DevTools 调试跨浏览器问题。

地理位置测试

进行不同地理 IP 的测试，确保为各地的用户提供正确的体验。

真实设备云

在 10,000 多台真实设备上测试 Web 和移动应用。

手势测试

测试自然手势，如点击、滚动、缩放和滑动等。

真实世界场景

利用 40 多种功能在真实硬件设备上测试每个边缘情况。

高级调试

直接从您的测试会话中使用设备日志、网络日志和 UI 检查器进行调试。

应用自动化

在 10,000 多台真实移动设备和平板电脑上进行自动化移动应用测试。

并行执行

在数百台真实 Android 和 iOS 设备上同时运行自动化测试。

框架支持

Appium、XCUITest、Espresso 和 Detox，移动自动化的所有选项。

本地测试

跨各种真实 Android 和 iOS 设备测试本地和私有托管的应用。

HyperExecute

速度提升高达 70% 的 AI 原生测试编排云。

自愈测试

自动修复测试脚本，减少不稳定性和手动维护。

智能编排

根据历史数据自动重新排序测试运行，以更快地暴露失败并缩短反馈时间。

根因分析

通过实时日志分类错误并获取 AI 驱动的纠正性洞察。

视觉 UI 测试

AI 原生视觉测试，可捕获跨浏览器和设备的 UI 回归。

像素比较

检测布局、颜色、字体和元素位置的视觉偏差。

设计到开发

将 Figma 设计与实时网页和应用屏幕进行比较，以确保准确性。

智能忽略

通过 AI 原生检测过滤掉不相关的布局偏移，减少误报。

无障碍性测试

Web 和移动应用的无障碍性测试，以实现包容性的用户体验。

WCAG 合规性

根据 WCAG、ADA 和 Section 508 标准扫描 Web 和移动应用。

定时扫描

每日、每周或每月自动执行定期无障碍性审计。

屏幕阅读器

在真实设备上测试与屏幕阅读器和辅助工具的兼容性。

播放

TestMu AI（前身为 LambdaTest）的成功案例

50%

测试执行时间减少

“HyperExecute 是一个高度可靠的测试执行平台，并拥有出色的客户支持。”

Sagar Uday Kumar

高级工程经理

Dashlane

Lereta

Dunelm

Trepp

Transavia

预约演示

更多喜爱 TestMu AI（前身为 LambdaTest）的理由

了解 TestMu AI 如何通过 AI 原生编写、更快的执行以及跨 Web、移动和 AI 应用的更深入测试洞察来加速您的测试。

使用 Google 免费开始

TestMu AI 在 2025 年 Gartner® Magic Quadrant™ 中被评为挑战者

阅读报告

TestMu AI 在 The Forrester Wave™：自主测试平台，2025 年第四季度中获得认可

阅读报告

名人墙

TestMu AI 是全球中小企业和大型企业的首选。

企业级安全

我们通过全球安全、隐私、负责任的 AI 和 ESG 标准保护您的数据和 AI 系统。

集成

在您工作的地方工作，与您的团队依赖的工具进行 120 多种集成。

用户

300 万+

测试

15 亿+

企业

1.8 万+

国家

132

媒体报道

常见问题

什么是 MCP 服务器？

MCP 服务器是一个程序，它通过模型上下文协议（Model Context Protocol）向 AI 智能体公开工具、资源和提示，该协议是 Anthropic 于 2024 年 11 月推出的一项开放标准。服务器向任何兼容 MCP 的客户端宣传其能力，客户端（AI 智能体）在运行时调用这些工具以获取数据或执行模型训练数据之外的操作。

MCP 在软件测试中用于什么？

在软件测试中，MCP 允许 AI 智能体通过自然语言驱动测试工作流程：生成配置、执行套件、拉取日志、总结失败以及运行视觉或无障碍性检查。智能体无需在 IDE、仪表板和终端之间切换，而是在线调用正确的 MCP 工具并在聊天中返回结果，从而压缩了编排和调试时间。

MCP 服务器如何与 AI 智能体协同工作？

客户端（如 Claude Code 或 Cursor 等 AI 智能体）通过 stdio 或 HTTP/SSE 连接到服务器，并询问其能力。服务器返回一个包含 JSON Schema 定义的工具列表。当用户提示智能体时，它会选择相关工具，发送结构化调用，服务器则对底层系统执行该调用，然后返回模型可以推理的类型化响应。

哪些 AI 客户端支持 MCP 服务器？

Claude Code、Claude Desktop、Cursor、Windsurf、GitHub Copilot Chat、Cline、Continue、Zed AI 和 JetBrains AI Assistant 目前都支持 MCP 服务器。任何实现模型上下文协议规范（stdio 或 HTTP/SSE 传输）的客户端都可以连接，这意味着新的 MCP 感知工具无需重写服务器集成即可工作。

如何在 Cursor 或 Claude Code 中设置 MCP 服务器？

在 Cursor 中，打开 设置 → MCP → 添加新的 MCP 服务器，并将其指向服务器的命令或 HTTP 端点。在 Claude Code 中，运行 "claude mcp add " 或直接编辑 ~/.claude.json。注册完成后，代理会自动发现可用的工具，您可以在聊天中调用它们。大多数企业级 MCP 服务器在工具可调用之前会添加一个 OAuth 步骤。

MCP 与 API 有什么区别？

API 是为代码间调用而构建的固定端点契约；客户端需要为每个端点和版本变更进行自定义集成。MCP 是为 AI 与工具之间的调用而构建的：它标准化了代理在运行时发现能力、跨调用维护会话状态以及解析类型化响应的方式。当 MCP 服务器添加新工具时，每个已连接的代理无需重新部署即可获取该工具。

MCP 服务器可以运行 Selenium、Playwright、Cypress 或 Appium 测试吗？

可以。MCP 服务器不会取代您的测试框架，而是对其进行封装。TestMu AI MCP 服务器在项目分析期间会检测 Selenium、Playwright、Cypress、Appium、TestNG、JUnit、PyTest、WebdriverIO 及类似框架，然后为您的 AI 代理生成正确的配置和运行命令以执行测试。测试执行仍然在底层云网格上进行。

MCP 如何帮助调试失败的测试？

MCP 服务器可以拉取任何失败运行的测试元数据、Selenium 命令日志、浏览器网络活动和控制台错误，然后将数据返回给聊天中的 AI 代理。代理会对日志进行推理，关联事件，并提出根本原因，将过去需要在多个仪表板标签页中查找的过程转变为一次提示。

Model Context Protocol 安全吗？

MCP 本身定义了传输和消息格式，而非身份验证；安全性取决于服务器实现。生产服务器通常使用 OAuth 2.1、限定范围的令牌和 TLS 加密传输。企业部署会增加基于角色的权限、审计日志和数据驻留控制，当 MCP 流量携带生产日志或客户数据时，这些措施变得非常重要。

MCP 服务器可以免费使用吗？

该协议是开源且免费的。服务器定价各不相同：许多社区服务器是免费的，而供应商托管的服务器则根据底层平台（使用量、席位或计算资源）计费，而非针对 MCP 层本身。TestMu AI MCP 服务器包含在每个 TestMu AI 账户中，仅消耗团队已付费的测试执行分钟数。

TestMu AI MCP 服务器中包含哪些工具？

服务器中提供了四个 MCP 工具。HyperExecute MCP 处理项目分析、YAML 生成、运行命令、作业信息和会话详情。Automation MCP 获取测试详情、Selenium 命令日志、网络日志和控制台日志。SmartUI MCP 汇总像素、布局、DOM 和人类感知的视觉差异。Accessibility MCP 对公共 URL、本地 React 构建和隧道应用运行 WCAG 审计。

TestMu AI MCP 服务器支持哪些 AI 助手？

TestMu AI MCP 服务器为 Cursor、Claude Code、Claude Desktop、Claude.ai（Web）、VS Code 中的 GitHub Copilot、Antigravity、OpenAI Codex CLI、Cline 和 Continue 提供了文档化的设置路径。任何其他兼容 MCP 的客户端都可以通过使用 mcp-remote 的通用 STDIO 配置进行连接，因此采用该协议的较新助手无需在服务器端进行更改即可工作。

TestMu AI MCP 服务器使用哪些传输方法？

该服务器支持两种传输方式。流式 HTTP 是大多数客户端的推荐选项，并使用带有 OAuth 身份验证的端点。STDIO 通过 mcp-remote 提供，适用于尚不支持流式 HTTP 的客户端，并在后台使用相同的 OAuth 身份验证端点。

为什么配置后 MCP 工具没有出现在我的 AI 客户端中？

通常有三个原因。首先，完全退出并重新启动客户端（软重载通常不够）。其次，验证 JSON、TOML 或 YAML 配置是否存在语法错误，尤其是尾随逗号和未转义的路径。第三，对于像 Continue 这样的客户端，请确认您处于代理模式而非聊天模式。如果 OAuth 已完成但工具仍未出现，请从客户端的 MCP 设置中重新进行身份验证。

查看更多问题

TestMu AI（前身为 LambdaTest）/MCP 服务器

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