LambdaTest MCP Server
官方LambdaTest MCP 伺服器涵蓋無障礙測試、SmartUI、自動化及 HyperExecute，讓您將 AI 助手與測試工作流程連接，簡化設定、分析失敗原因並生成修復方案，以加速測試並提升效率。
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TestMu AI MCP Server 用於代理式測試
使用 TestMu AI 的 MCP Server，透過自然語言直接在 Cursor、Claude、Copilot 及其他 MCP 客戶端中，從您的 IDE 執行、除錯及分類測試，此伺服器支援 HyperExecute、Automation、SmartUI 與無障礙工具。
TestMu AI（前身為 LambdaTest）內建 MCP Server
使用自然語言，透過 HyperExecute、Automation、無障礙與 SmartUI MCP 工具，從您的 IDE 執行、除錯及分類測試。
HyperExecute MCP 工具Automation MCP 工具無障礙 MCP 工具SmartUI MCP 工具
使用 HyperExecute MCP 進行測試協調
TestMu AI 的 HyperExecute MCP 免除了手動撰寫 YAML 與切換儀表板的麻煩。透過自然語言從您的 IDE 產生 YAML 設定、執行器命令並監控作業。
generateHyperExecuteYAML： 為測試專案執行產生 YAML 設定。
answerHyperExecuteQuery： 從 HyperExecute 文件取得即時解答。
getHyperExecuteJobInfo： 擷取指定測試執行的詳細作業層級資訊。
getHyperExecuteJobSessions： 擷取連結至 HyperExecute 作業的所有工作階段詳細資料。
使用 Automation MCP 進行測試失敗分類
TestMu AI 的 Automation MCP 透過將 TestID 詳細資料、命令記錄、網路記錄與主控台錯誤整合至單一對話中，加速測試失敗分類，以便立即進行根本原因分析。
Automation 測試詳細資料： 擷取特定測試的全面資訊。
Automation 命令記錄： 存取所有 Selenium 命令的執行記錄。
Automation 網路記錄： 分析測試期間的瀏覽器流量與網路行為。
Automation 主控台記錄： 檢閱瀏覽器主控台輸出，包括錯誤與警告。
upload_app 工具： 上傳行動應用程式以進行測試。
使用無障礙 MCP 進行 WCAG 與 a11y 稽核
TestMu AI 的無障礙 MCP 透過傳回詳細的稽核報告及可立即套用的修復指引，在 WCAG 與 a11y 違規進入生產環境前即予以攔截。
getAccessibilityReport： 擷取任何公開 URL 的無障礙報告。
buildLocalAppForAnalysis： 建置並提供本機 React 應用程式以偵測無障礙問題。
analyseAppViaTunnel： 透過 TestMu AI 通道分析本機應用程式測試的無障礙失敗。
使用 SmartUI MCP 進行視覺迴歸除錯
TestMu AI 的 SmartUI MCP 透過在您的 IDE 中以淺顯易懂的語言解釋像素、版面、DOM 與感知變更，省去視覺迴歸除錯中的人工差異調查。
getSmartUIResources： 擷取比較執行的所有視覺資產。
summarizeSmartUIPixelDiff： 識別並解釋螢幕截圖之間的原始像素差異。
summarizeSmartUILayoutDiff： 偵測間距、對齊與尺寸相關的版面問題。
summarizeSmartUIDomDiff： 描述 DOM 結構與屬性的變更。
analyzeSmartUIHumanDiff： 模擬人類如何感知視覺變更。
analyzeSmartUIRun： 提供跨所有分析層級的完整除錯摘要。
getSmartUIScreenshotInfo： 擷取 SmartUI 螢幕截圖的中繼資料與詳細資訊。
downloadSmartUIDomFiles： 下載 DOM 結構檔案以進行更深入的分析。
AI 代理式品質工程
代理測試
KaneAI
瀏覽器測試
真實裝置雲
應用程式自動化
HyperExecute
視覺 UI 測試
無障礙測試
代理測試
測試 AI 代理，例如聊天機器人、語音助理等。
自主測試
從合成終端使用者的角度，對受測代理進行詳細分析。
多重角色模擬
多樣化的使用者角色，例如國際來電者、數位新手等。
風險評分與迴歸
對受測代理進行端到端迴歸測試並提供洞察。
KaneAI by TestMu AI
使用自然語言規劃、編寫及演進端到端測試。
自然語言
透過簡單描述來編寫測試，無需腳本、無需程式碼，只需淺顯的英文。
測試場景產生
從文字、JIRA 票證、PRD、圖片與試算表產生結構化測試案例。
測試編寫
使用 KaneAI 為您的網站與網頁應用程式，在桌面與行動裝置上編寫瀏覽器測試。
瀏覽器測試
在 3000 多種瀏覽器-作業系統-裝置組合上快速驗證您的網站。
響應式測試
檢查您的網站如何在桌面、平板與行動裝置的視埠上呈現。
DevTools 除錯
使用預先安裝的 Chrome 與 Safari DevTools 除錯跨瀏覽器問題。
地理位置測試
進行不同地理 IP 測試，以確保各地使用者都能獲得正確的體驗。
真實裝置雲
在 10000 多部真實裝置上測試網頁與行動應用程式。
手勢測試
測試自然手勢，例如點擊、捲動、縮放、滑動等。
真實世界情境
利用 40 多項功能，在真實硬體裝置上測試各種邊緣案例。
進階除錯
直接從您的測試工作階段，使用裝置記錄、網路記錄與 UI 檢查器進行除錯。
應用程式自動化
在 10000 多部真實行動裝置與平板上進行自動化行動應用程式測試。
平行執行
跨數百部真實 Android 與 iOS 裝置同時執行自動化測試。
框架支援
Appium、XCUITest、Espresso 與 Detox，所有行動自動化的選項。
本機測試
跨各種真實 Android 與 iOS 裝置測試本機與私人託管的應用程式。
HyperExecute
速度提升高達 70% 的 AI 原生測試協調雲端。
自我修復測試
自動修復測試腳本，減少不穩定性和人工維護。
智慧協調
根據過往資料自動重新排序測試執行，以更快浮現失敗並縮短回饋時間。
根本原因分析
分類錯誤並透過即時記錄取得 AI 驅動的修正洞察。
視覺 UI 測試
AI 原生的視覺測試，可捕捉跨瀏覽器與裝置的 UI 迴歸。
像素比較
偵測版面、顏色、字型與元素位置的視覺偏差。
設計到開發
比較 Figma 設計與即時網頁和應用程式螢幕截圖，以確保準確性。
智慧忽略
使用 AI 原生偵測過濾不相關的版面位移，減少誤報。
無障礙測試
針對網頁與行動應用程式進行無障礙測試，以實現包容性的使用者體驗。
WCAG 合規性
根據 WCAG、ADA 與 Section 508 標準掃描網頁與行動應用程式。
排程掃描
每日、每週或每月自動執行週期性的無障礙稽核。
螢幕閱讀器
在真實裝置上測試與螢幕閱讀器及輔助工具的相容性。
播放
TestMu AI（前身為 LambdaTest）的成功案例
50%
測試執行時間減少
「HyperExecute 是一個高度可靠的測試執行平台，並擁有卓越的客戶支援。」
Sagar Uday Kumar
資深工程經理
Dashlane
Lereta
Dunelm
Trepp
Transavia
預約展示
更多喜愛 TestMu AI（前身為 LambdaTest）的理由
了解 TestMu AI 如何透過 AI 原生的編寫、更快的執行速度，以及跨網頁、行動與 AI 應用程式的更深入測試洞察，加速您的測試流程。
TestMu AI 在 2025 年 Gartner® Magic Quadrant™ 中被評為挑戰者
TestMu AI 在 The Forrester Wave™：自主測試平台，2025 年第四季中獲得認可
名人牆
TestMu AI 是全球中小企業與大型企業的首選。
企業級安全性
我們以全球安全、隱私、負責任的 AI 與 ESG 標準來保護您的資料與 AI 系統。
整合
在您的工作環境中運作，提供 120 多種與您團隊依賴工具的整合。
使用者
3M+
測試
1.5B+
企業
18K+
國家
132
媒體報導
常見問題
什麼是 MCP Server？
MCP Server 是一個透過模型上下文協定（Model Context Protocol）向 AI 代理公開工具、資源與提示的程式，此協定是 Anthropic 於 2024 年 11 月推出的開放標準。伺服器會向任何相容 MCP 的客戶端宣告其功能，而客戶端（AI 代理）會在執行階段呼叫這些工具，以擷取模型訓練資料之外的資料或執行動作。
MCP 在軟體測試中的用途是什麼？
在軟體測試中，MCP 讓 AI 代理能透過自然語言驅動測試工作流程：產生設定、執行套件、提取記錄、摘要失敗，以及執行視覺或無障礙檢查。代理無需在 IDE、儀表板與終端機之間切換，而是直接在對話中呼叫正確的 MCP 工具並傳回結果，從而壓縮協調與除錯時間。
MCP Server 如何與 AI 代理協同運作？
客戶端（例如 Claude Code 或 Cursor 等 AI 代理）透過 stdio 或 HTTP/SSE 連接到伺服器，並請求其功能。伺服器會傳回一份包含 JSON Schema 定義的工具清單。當使用者提示代理時，它會選擇相關工具，傳送結構化呼叫，伺服器則會針對底層系統執行該呼叫，然後傳回模型可以推理的型別化回應。
哪些 AI 客戶端支援 MCP Server？
Claude Code、Claude Desktop、Cursor、Windsurf、GitHub Copilot Chat、Cline、Continue、Zed AI 與 JetBrains AI Assistant 目前皆支援 MCP Server。任何實作模型上下文協定規範（stdio 或 HTTP/SSE 傳輸）的客戶端都可以連接，這表示新的 MCP 感知工具無需重寫伺服器整合即可運作。
如何在 Cursor 或 Claude Code 中設定 MCP Server？
在 Cursor 中，開啟設定 → MCP → 新增 MCP Server，並將其指向伺服器的命令或 HTTP 端點。在 Claude Code 中，執行 "claude mcp add " 或直接編輯 ~/.claude.json。註冊後，代理會自動發現可用的工具，您可以在對話中呼叫它們。大多數企業 MCP Server 在工具可供呼叫之前會新增 OAuth 步驟。
MCP 與 API 有什麼不同？
API 是為程式碼對程式碼呼叫而建構的固定端點合約；客戶端需要為每個端點與版本變更進行自訂整合。MCP 則是為 AI 對工具呼叫而建構：它標準化了代理在執行階段如何發現功能、跨呼叫維護工作階段狀態，以及剖析型別化回應。當 MCP Server 新增工具時，每個已連接的代理都能立即取得，無需重新部署。
MCP Server 可以執行 Selenium、Playwright、Cypress 或 Appium 測試嗎？
可以。MCP Server 不會取代您的測試框架，而是將其包裝起來。TestMu AI MCP Server 在專案分析期間會偵測 Selenium、Playwright、Cypress、Appium、TestNG、JUnit、PyTest、WebdriverIO 及類似框架，然後為您的 AI 代理產生正確的設定與執行器命令以執行測試。測試執行仍然在底層的雲端網格上進行。
MCP 如何協助除錯失敗的測試？
MCP 伺服器可以提取測試中繼資料、Selenium 指令記錄、瀏覽器網路活動以及任何失敗執行的主控台錯誤，然後將資料交回給聊天中的 AI 代理。代理會根據記錄進行推理、關聯事件並提出根本原因，將以往需要多個儀表板分頁查找的流程轉變為單一提示。
Model Context Protocol 安全嗎？
MCP 本身定義的是傳輸和訊息格式，而非驗證機制；安全性取決於伺服器的實作方式。正式環境的伺服器通常使用 OAuth 2.1、限定範圍的權杖以及 TLS 加密傳輸。企業部署則會加入基於角色的權限、稽核記錄和資料駐留控制，當 MCP 流量承載正式環境記錄或客戶資料時，這些措施就變得格外重要。
MCP 伺服器可以免費使用嗎？
此協定是開放原始碼且免費的。伺服器的定價則各不相同：許多社群伺服器是免費的，而供應商代管的伺服器則是根據底層平台（用量、授權席位或運算資源）計費，而非針對 MCP 層本身收費。TestMu AI MCP 伺服器已包含在每個 TestMu AI 帳戶中，只會消耗團隊原本就需付費的測試執行分鐘數。
TestMu AI MCP 伺服器內含哪些工具？
此伺服器提供四項 MCP 工具。HyperExecute MCP 負責處理專案分析、YAML 產生、執行器指令、作業資訊以及工作階段詳細資料。Automation MCP 會擷取測試詳細資料、Selenium 指令記錄、網路記錄和主控台記錄。SmartUI MCP 會摘要像素、版面、DOM 以及人眼感知的視覺差異。Accessibility MCP 則會對公開網址、本機 React 建置版本以及透過通道連接的應用程式執行 WCAG 稽核。
TestMu AI MCP 伺服器支援哪些 AI 助理？
TestMu AI MCP 伺服器已針對 Cursor、Claude Code、Claude Desktop、Claude.ai（網頁版）、VS Code 中的 GitHub Copilot、Antigravity、OpenAI Codex CLI、Cline 和 Continue 提供文件化的設定路徑。任何其他相容 MCP 的客戶端都可以透過使用 mcp-remote 的通用 STDIO 設定進行連接，因此採用此協定的較新助理無需在伺服器端進行變更即可運作。
TestMu AI MCP 伺服器使用哪些傳輸方法？
此伺服器支援兩種傳輸方式。對於大多數客戶端，建議使用可串流的 HTTP，並搭配使用 OAuth 驗證的端點。對於尚未支援可串流 HTTP 的客戶端，則可透過 mcp-remote 使用 STDIO，其背後使用的是相同的 OAuth 驗證端點。
為什麼設定完成後，MCP 工具沒有出現在我的 AI 客戶端中？
通常有三個原因。首先，請完全結束並重新啟動客戶端（僅重新載入通常不夠）。其次，請驗證 JSON、TOML 或 YAML 設定檔是否有語法錯誤，特別是結尾逗號和未跳脫的路徑。第三，對於像 Continue 這類的客戶端，請確認您處於代理模式而非聊天模式。如果 OAuth 已完成但工具仍未出現，請從客戶端的 MCP 設定中重新驗證。
查看更多問題
TestMu AI（前身為 LambdaTest）/MCP 伺服器
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Test execution still happens on the underlying cloud grid."}},{"@type":"Question","name":"How does MCP help debug failed tests?","acceptedAnswer":{"@type":"Answer","text":"An MCP server can pull test metadata, Selenium command logs, browser network activity, and console errors for any failed run, then hand the data back to the AI agent in chat. The agent reasons over the logs, correlates events, and suggests a root cause, turning what used to be a multi-tab dashboard hunt into a single prompt."}},{"@type":"Question","name":"Is the Model Context Protocol secure?","acceptedAnswer":{"@type":"Answer","text":"MCP itself defines transport and message format, not authentication; security depends on the server implementation. Production servers typically use OAuth 2.1, scoped tokens, and TLS-encrypted transport. Enterprise deployments add role-based permissions, audit logging, and data-residency controls, which become important when MCP traffic carries production logs or customer data."}},{"@type":"Question","name":"Are MCP servers free to use?","acceptedAnswer":{"@type":"Answer","text":"The protocol is open source and free. Server pricing varies: many community servers are free, while vendor-hosted servers bill against the underlying platform (usage, seats, or compute) rather than the MCP layer itself. The TestMu AI MCP Server is included with every TestMu AI account and only consumes the test execution minutes a team already pays for."}},{"@type":"Question","name":"What tools are inside the TestMu AI MCP Server?","acceptedAnswer":{"@type":"Answer","text":"Four MCP tools ship in the server. HyperExecute MCP handles project analysis, YAML generation, runner commands, job info, and session details. Automation MCP fetches test details, Selenium command logs, network logs, and console logs. SmartUI MCP summarizes pixel, layout, DOM, and human-perceived visual diffs. Accessibility MCP runs WCAG audits on public URLs, local React builds, and tunneled apps."}},{"@type":"Question","name":"What AI assistants does the TestMu AI MCP Server support?","acceptedAnswer":{"@type":"Answer","text":"The TestMu AI MCP Server has documented setup paths for Cursor, Claude Code, Claude Desktop, Claude.ai (Web), GitHub Copilot in VS Code, Antigravity, OpenAI Codex CLI, Cline, and Continue. Any other MCP-compatible client can connect through the universal STDIO configuration using mcp-remote, so newer assistants that adopt the protocol work without changes on the server side."}},{"@type":"Question","name":"What transport methods does the TestMu AI MCP Server use?","acceptedAnswer":{"@type":"Answer","text":"The server supports two transports. Streamable HTTP is the recommended option for most clients and uses the endpoint with OAuth authentication. STDIO is available through mcp-remote for clients that don't yet support Streamable HTTP, and uses the same OAuth-authenticated endpoint behind the scenes."}},{"@type":"Question","name":"Why aren't MCP tools showing up in my AI client after configuration?","acceptedAnswer":{"@type":"Answer","text":"Three things usually cause this. First, fully quit and relaunch the client (a soft reload often isn't enough). Second, validate the JSON, TOML, or YAML config for syntax errors, especially trailing commas and unescaped paths. Third, for clients like Continue, confirm you are in Agent Mode rather than Chat Mode. If OAuth completed but tools still don't appear, re-authenticate from the client's MCP settings."}}]}
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