MCP Server By TestMu AI

官方

透過自然語言在TestMu AI雲端上執行、除錯及分類測試，涵蓋HyperExecute、Automation、SmartUI和Accessibility。

造訪 testmuai.com試用此 MCP贊助

你可以用 By TestMu AI MCP 做什麼？

  • 產生 HyperExecute YAML 設定 — 請您的助理透過 generateHyperExecuteYAML 為測試專案執行建立 YAML 設定。
  • 取得工作與工作階段詳細資料 — 擷取與 HyperExecute 執行相關的詳細工作層級資訊及所有工作階段詳細資料。
  • 使用日誌分類測試失敗 — 提取測試詳細資料、Selenium 指令日誌、網路日誌及主控台日誌，以進行根本原因分析。
  • 執行無障礙稽核 — 取得任何公開 URL 的 WCAG 合規報告，或透過隧道分析本機應用程式。
  • 摘要視覺迴歸 — 說明 SmartUI 螢幕擷取畫面之間的像素、版面、DOM 及人眼感知差異。

文件

新功能：Agent Assurance。測試你的 Agent 實際做了什麼，而不是它說了什麼。加入等候名單White ArrowWhite Arrow

TestMu AI MCP Server For Agentic Testing

使用 TestMu AI 的 MCP server 來執行、除錯與分類測試，此 server 驅動 HyperExecute、Automation、SmartUI、Accessibility 與 Test Manager 工具，讓你能直接在 Cursor、Claude、Copilot 及其他 MCP 用戶端中，透過自然語言操作。

立即試用版本說明

TestMu AI MCP Server For Agentic Testing

任何 AI 用戶端都能使用 TestMu AI 的 MCP

使用 TestMu AI MCP Server，搭配任何 AI 助理來執行、除錯與分類測試。
選擇你的 AI 用戶端，幾分鐘內即可完成設定。

Cursor logo

Cursor

在編輯器內，用簡單英文產生設定檔、執行測試套件、除錯失敗並分類結果。

立即設定

Claude Code logo

Claude Code

在終端機內，用簡單英文產生設定檔、執行測試套件、除錯失敗並分類結果。

立即設定

GitHub Copilot logo

GitHub Copilot

在 VS Code 聊天視窗內，用簡單英文產生設定檔、執行測試套件、除錯失敗並分類結果。

立即設定

OpenAI Codex logo

OpenAI Codex

在命令列中，用簡單英文產生設定檔、執行測試套件、除錯失敗並分類結果。

立即設定

Antigravity logo

Antigravity

在 Agent 面板中，用簡單英文產生設定檔、執行測試套件、除錯失敗並分類結果。

立即設定

內建 MCP Server By TestMu AI（前身為 LambdaTest）

使用 HyperExecute、Automation、Accessibility 與 SmartUI 的 MCP 工具，透過自然語言直接從 IDE 執行、除錯與分類測試。

使用 Google 免費開始

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

使用 HyperExecute MCP 進行測試編排

TestMu AI 的 HyperExecute MCP 省去手動撰寫 YAML 與切換儀表板的麻煩。直接從 IDE 透過自然語言產生 YAML 設定檔、執行指令並監控任務。

探索 HyperExecute MCP

generateHyperExecuteYAML： 為測試專案執行產生 YAML 設定檔。

answerHyperExecuteQuery： 從 HyperExecute 文件即時取得解答。

getHyperExecuteJobInfo： 擷取指定測試執行的詳細任務層級資訊。

getHyperExecuteJobSessions： 取得與 HyperExecute 任務相關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、指令日誌、網路日誌與主控台錯誤彙整到同一個聊天視窗，加速測試失敗分類，以便即時進行根本原因分析。

探索 Automation MCP

Automation 測試詳細資料： 擷取特定測試的完整資訊。

Automation 指令日誌： 存取所有 Selenium 指令的執行日誌。

Automation 網路日誌： 分析測試期間的瀏覽器流量與網路行為。

Automation 主控台日誌： 檢視瀏覽器主控台輸出，包括錯誤與警告。

upload_app 工具： 上傳行動應用程式以供測試。

使用 Accessibility MCP 進行 WCAG 與無障礙稽核

TestMu AI 的 Accessibility MCP 會在 WCAG 與無障礙違規進入正式環境前攔截問題，提供詳細的稽核報告與可直接套用的修正建議。

探索 Accessibility MCP

getAccessibilityReport： 為任何公開 URL 擷取無障礙報告。

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 隧道分析本機應用程式測試的無障礙失敗。

使用 SmartUI MCP 進行視覺回歸除錯

TestMu AI 的 SmartUI MCP 直接在 IDE 中以簡單英文說明像素、版面、DOM 與感知變化，省去視覺回歸除錯中手動比對差異的步驟。

探索 SmartUI MCP

getSmartUIResources： 擷取比較執行的所有視覺資產。

summarizeSmartUIPixelDiff： 識別並說明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 結構與屬性的變化。

analyzeSmartUIHumanDiff： 模擬人類會如何感知視覺變化。

analyzeSmartUIRun： 提供跨所有分析層的完整除錯摘要。

getSmartUIScreenshotInfo： 擷取 SmartUI 截圖的中繼資料與詳細資訊。

downloadSmartUIDomFiles： 下載 DOM 結構檔案以進行深入分析。

AI-Agentic 品質工程

AI 原生 Agent 可在瀏覽器、10,000 多台真實裝置以及你的 CI 管線中，直接從 IDE 規劃、撰寫、執行與分類測試。

Agent Testing

KaneAI

Browser Testing

Real Device Cloud

App Automation

HyperExecute

Visual UI Testing

Accessibility Testing

Agent Testing

測試 AI Agent，例如聊天機器人、語音助理等。

進一步了解 Agent Testing

Agent Testing

自主測試

從合成終端使用者的角度，對受測 Agent 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。

風險評分與回歸

針對受測 Agent 進行端對端回歸測試並提供洞察。

KaneAI by TestMu AI

使用自然語言規劃、撰寫與演進端對端測試。

自然語言

只要描述即可撰寫測試，不需要腳本、不需要程式碼，只需簡單英文。

測試情境產生

從文字、Jira 票證、PRD、圖片與試算表產生結構化測試案例。

測試撰寫

使用 KaneAI 為你的網站與網頁應用程式，在桌上型與行動裝置上撰寫瀏覽器測試。

Browser Testing

在 3000 多種瀏覽器-作業系統-裝置組合上快速驗證你的網站。

響應式測試

檢查你的網站在桌上型電腦、平板與行動裝置的各種視窗尺寸下如何呈現。

DevTools 除錯

使用預先安裝的 Chrome 與 Safari DevTools 除錯跨瀏覽器問題。

地理定位測試

從不同地理 IP 進行測試，確保所有地區的使用者都能獲得正確體驗。

Real Device Cloud

在 10,000 多台真實裝置上測試網頁與行動應用程式。

手勢測試

測試點擊、捲動、縮放、滑動等自然手勢。

真實世界情境

善用 40 多項功能，在真實硬體裝置上測試每個邊緣案例。

進階除錯

直接從測試工作階段使用裝置日誌、網路日誌與 UI inspector 進行除錯。

App Automation

在 10,000 多台真實行動裝置與平板電腦上執行自動化行動應用程式測試。

平行執行

同時在數百台真實 Android 與 iOS 裝置上執行自動化測試。

框架支援

Appium、XCUITest、Espresso 與 Detox，行動自動化的所有選項。

本機測試

在各種真實 Android 與 iOS 裝置上測試本機與私人託管的應用程式。

HyperExecute

速度提升最高 70% 的 AI 原生測試編排雲端。

自我修復測試

自動修復測試腳本，減少不穩定與手動維護。

智慧編排

根據歷史資料自動重新排序測試執行，更快呈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日誌取得 AI 驅動的修正洞察。

Visual UI Testing

AI 原生視覺測試，可在瀏覽器與裝置上攔截 UI 回歸。

像素比對

偵測版面、顏色、字型與元素位置上的視覺偏差。

設計到開發

比對 Figma 設計與即時網頁及應用程式畫面，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，減少誤判。

Accessibility Testing

網頁與行動應用程式無障礙測試，打造包容的使用者體驗。

WCAG 合規

針對 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。

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TestMu AI（前身為 LambdaTest）的成功案例

Dashlane

50%

測試執行時間縮短

「HyperExecute 是高度可靠的測試執行平台，而且客戶支援非常出色。」

Sagar Uday Kumar

資深工程經理

Dashlane

Lereta

Dunelm

Trepp

Transavia

預約示範

更多愛上 TestMu AI（前身為 LambdaTest）的理由

了解 TestMu AI 如何透過無縫整合、更快的結果與無可比擬的準確度，改善你的測試流程。

使用 Google 免費開始

使用者

3M+

測試數

1.5B+

企業

18K+

國家/地區

132

TestMu AI 獲評為 2025 Gartner® Magic Quadrant™ 挑戰者

閱讀報告

TestMu AI 獲 The Forrester Wave™：自主測試平台，2025 年第四季認可

閱讀報告

榮譽牆

TestMu AI 是全球中小企業與大型企業的首選。

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企業級安全

我們透過全球安全、隱私、負責任 AI 與 ESG 標準，保護你的資料與 AI 系統。

Security compliance certification badges

整合

在你工作的地方運作，提供 120 多種與你的團隊所依賴工具的整合。

Integration partner logos

Capterra4.6/ 5540+ 則評論Gartner Peer Insights4.6/ 5410+ 則評論Software Advice4.6/ 5540+ 則評論

媒體報導

常見問題

什麼是 MCP server？Expand

MCP server 是一種程式，透過 Model Context Protocol（Anthropic 於 2024 年 11 月推出的開放標準）向 AI Agent 公開工具、資源與提示。此 server 會向任何相容的 MCP 用戶端宣告其能力，而用戶端（AI Agent）會在執行時期呼叫這些工具，以取得模型訓練資料以外的資料或執行操作。

MCP 在軟體測試中有什麼用途？Expand

在軟體測試中，MCP 讓 AI Agent 能透過自然語言驅動測試工作流程：產生設定檔、執行測試套件、擷取日誌、彙整失敗並執行視覺或無障礙檢查。Agent 不必在 IDE、儀表板與終端機之間切換，而是直接呼叫正確的 MCP 工具並在聊天中回傳結果，進而壓縮編排與除錯時間。

MCP server 如何與 AI Agent 搭配運作？Expand

用戶端（例如 Claude Code 或 Cursor 等 AI Agent）會透過 stdio 或 Streamable HTTP 連線至 server，並要求其能力清單。Server 會回傳帶有 JSON Schema 定義的工具清單。當使用者提示 Agent 時，它會挑選相關工具、傳送結構化呼叫，而 server 會針對底層系統執行該呼叫，然後回傳模型可以推理的型別化回應。

哪些 AI 用戶端支援 MCP server？Expand

Claude Code、Claude Desktop、Cursor、Windsurf、GitHub Copilot Chat、Cline、Continue、Zed AI 與 JetBrains AI Assistant 目前都支援 MCP server。任何實作 Model Context Protocol 規格（stdio 或 Streamable HTTP 傳輸）的用戶端都可以連線，這表示新的 MCP 感知工具無需重寫 server 整合即可使用。

如何在 Cursor 或 Claude Code 中設定 MCP server？Expand

在 Cursor 中，開啟「設定 → MCP → 新增 MCP 伺服器」，然後指向伺服器的指令或 HTTP 端點。在 Claude Code 中，執行「claude mcp add 」，或直接編輯 ~/.claude.json。註冊完成後，代理程式會自動探索可用的工具，您就可以在聊天中呼叫它們。大多數企業級 MCP 伺服器會在工具可呼叫之前加入 OAuth 步驟。

MCP 與 API 有何不同？Expand

API 是為程式碼對程式碼呼叫而設計的固定端點契約；用戶端需要針對每個端點和版本變更進行自訂整合。MCP 是為 AI 對工具呼叫而設計的：它標準化了代理程式在執行階段探索能力、跨呼叫維護工作階段狀態，以及解析型別化回應的方式。當 MCP 伺服器新增工具時，所有已連線的代理程式都能直接使用，無需重新部署。

MCP 伺服器可以執行 Selenium、Playwright、Cypress 或 Appium 測試嗎？Expand

可以。MCP 伺服器不會取代您的測試框架；它會包裝測試框架。TestMu AI MCP Server 會在專案分析期間偵測 Selenium、Playwright、Cypress、Appium、TestNG、JUnit、PyTest、WebdriverIO 及類似框架，然後為您的 AI 代理程式產生正確的設定和執行器指令。測試執行仍會發生在底層的雲端網格上。

MCP 如何協助除錯失敗的測試？Expand

MCP 伺服器可以擷取任何失敗執行的測試中繼資料、Selenium 指令日誌、瀏覽器網路活動和主控台錯誤，然後將資料回傳給聊天中的 AI 代理程式。代理程式會對日誌進行推理、關聯事件，並建議根本原因，將過去需要多個分頁的儀表板搜尋變成單一提示。

Model Context Protocol 安全嗎？Expand

MCP 規範為 HTTP 傳輸定義了選用的 OAuth 2.1 授權框架，但整體安全性仍取決於伺服器實作。生產環境伺服器通常使用 OAuth 2.1、範圍限定的權杖和 TLS 加密傳輸。企業部署會加入角色型權限、稽核日誌和資料落地控制，當 MCP 流量承載生產日誌或客戶資料時，這些就變得重要。

MCP 伺服器可以免費使用嗎？Expand

該協定是開放原始碼且免費的。伺服器定價各不相同：許多社群伺服器是免費的，而供應商託管的伺服器會根據底層平台（使用量、席位或運算）計費，而不是針對 MCP 層本身。TestMu AI MCP Server 隨每個 TestMu AI 帳戶提供，只會消耗團隊已支付的測試執行分鐘數。

TestMu AI MCP Server 內有哪些工具？Expand

伺服器內建五個 MCP 工具。HyperExecute MCP 負責專案分析、YAML 產生、執行器指令、任務資訊和工作階段詳細資料。Automation MCP 擷取測試詳細資料、Selenium 指令日誌、網路日誌和主控台日誌。SmartUI MCP 彙總像素、版面配置、DOM 和人類感知的視覺差異。Accessibility MCP 在公開 URL、本機 React 建置和隧道化應用程式上執行 WCAG 稽核。Test Manager MCP 使用 AI 產生測試案例、建置設定的測試執行、批次記錄結果，並追蹤里程碑和涵蓋範圍。

TestMu AI MCP Server 支援哪些 AI 助理？Expand

TestMu AI MCP Server 有針對 Cursor、Claude Code、Claude Desktop、Claude.ai（網頁版）、VS Code 中的 GitHub Copilot、Antigravity、OpenAI Codex CLI、Cline 和 Continue 的已記錄設定路徑。任何其他相容 MCP 的用戶端都可以透過 mcp-remote 使用通用的 STDIO 設定連線，因此採用該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 Server 使用哪些傳輸方法？Expand

伺服器支援兩種傳輸方式。Streamable HTTP 是大多數用戶端的建議選項，使用 https://mcp.lambdatest.com/mcp 端點搭配 OAuth 驗證。STDIO 可透過 mcp-remote 提供給尚不支援 Streamable HTTP 的用戶端，並在幕後使用相同的 OAuth 驗證端點。

為什麼設定後 MCP 工具沒有出現在我的 AI 用戶端中？Expand

通常有三個原因。首先，完全結束並重新啟動用戶端（軟重新載入通常不夠）。其次，驗證 JSON、TOML 或 YAML 設定是否有語法錯誤，尤其是尾隨逗號和未跳脫的路徑。第三，對於 Continue 等用戶端，請確認您處於 Agent Mode 而非 Chat Mode。如果 OAuth 已完成但工具仍未出現，請從用戶端的 MCP 設定重新驗證。

查看更多問題

TestMu AI (Formerly LambdaTest)/MCP Server

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Any client that implements the Model Context Protocol spec (stdio or Streamable HTTP transport) can connect, which means new MCP-aware tools work without rewriting the server integration."}},{"@type":"Question","name":"How do you set up an MCP server in Cursor or Claude Code?","acceptedAnswer":{"@type":"Answer","text":"In Cursor, open Settings → MCP → Add new MCP Server and point it at the server's command or HTTP endpoint. In Claude Code, run \"claude mcp add <name> <command>\" or edit ~/.claude.json directly. Once registered, the agent discovers the available tools automatically and you can invoke them in chat. Most enterprise MCP servers add an OAuth step before tools become callable."}},{"@type":"Question","name":"What is the difference between MCP and an API?","acceptedAnswer":{"@type":"Answer","text":"An API is a fixed endpoint contract built for code-to-code calls; clients need custom integration for every endpoint and version change. MCP is built for AI-to-tool calls: it standardizes how an agent discovers capabilities at runtime, maintains session state across calls, and parses typed responses. When a new tool is added to an MCP server, every connected agent picks it up without redeployment."}},{"@type":"Question","name":"Can MCP servers run Selenium, Playwright, Cypress, or Appium tests?","acceptedAnswer":{"@type":"Answer","text":"Yes. MCP servers don't replace your test framework; they wrap it. The TestMu AI MCP Server detects Selenium, Playwright, Cypress, Appium, TestNG, JUnit, PyTest, WebdriverIO, and similar frameworks during project analysis, then generates the right config and runner command for your AI agent to execute. 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":"The MCP spec defines an optional OAuth 2.1-based authorization framework for HTTP transports, but overall security still 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":"Five 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. Test Manager MCP generates test cases with AI, builds configured test runs, records results in bulk, and tracks milestones and coverage."}},{"@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 https://mcp.lambdatest.com/mcp 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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