TestMu AI MCP Server
OfficialThis server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
TestMu AI (Formerly LambdaTest) MCP Server
Run, debug, and triage tests using natural language, directly from your IDE.
The TestMu AI MCP Server connects any MCP-compatible client to the TestMu AI (Formerly LambdaTest) platform — so you can orchestrate test runs, debug failures, analyze visual regressions, and run accessibility audits without leaving your editor or switching between dashboards.
This repository is the setup guide and reference for the hosted MCP server. The server itself runs as a managed service at
https://mcp.lambdatest.com/mcp— there is nothing to install or self-host.
Tools
Tool | What it does |
HyperExecute | AI-native test orchestration. Generates HyperExecute YAML and test runner commands, triggers jobs, and reports status — no manual YAML authoring. |
Automation | Triages test failures by pulling execution details, command logs, network logs, and console errors into one place for root-cause analysis. |
SmartUI | Explains visual regressions in plain English — pixel, layout, DOM, and perceptual differences, summarized rather than eyeballed. |
Accessibility | Runs WCAG and a11y audits against hosted URLs or local React apps, returning violations with remediation guidance. |
Test Manager | Covers the test management lifecycle — AI test case generation through to bulk result recording. |
Related MCP server: Argus MCP Server
Prerequisites
An MCP-compatible client (see below)
Node.js 18+ — only if your client needs the STDIO fallback
Authentication is handled over OAuth. On first connection, your client opens a browser window to authorize against testmuai.com; no API keys need to be stored in config files.
Setup
The server endpoint is:
https://mcp.lambdatest.com/mcpCursor
Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project):
{
"mcpServers": {
"testmu-ai": {
"url": "https://mcp.lambdatest.com/mcp"
}
}
}Claude Code
claude mcp add --transport http testmu-ai https://mcp.lambdatest.com/mcpOr install from the TestMu AI plugin marketplace (Claude Code v2.1.292 or later):
claude plugin install kane-cli --marketplace LambdaTest/mcp-server-guide
claude plugin install rook --marketplace LambdaTest/mcp-server-guide
claude plugin install testmu-ai --marketplace LambdaTest/mcp-server-guidePlugin | What you get |
| Kane CLI skill for browser automation, mobile app testing and AI test authoring |
| Rook inside Claude Code for testing the AI agents you build |
| This MCP server plus the Kane CLI and Rook CLI skills |
On older versions, add the marketplace first with claude plugin marketplace add LambdaTest/mcp-server-guide, then run claude plugin install kane-cli@testmu-ai. Inside a Claude Code session, use /plugin marketplace add LambdaTest/mcp-server-guide and /plugin install kane-cli@testmu-ai.
VS Code / GitHub Copilot
Add to your MCP configuration:
{
"servers": {
"testmu-ai": {
"type": "http",
"url": "https://mcp.lambdatest.com/mcp"
}
}
}Cline
Open the Cline panel, click the MCP Servers icon, then Configure > Remote Servers:
Server Name: testmu-ai
Server URL: https://mcp.lambdatest.com/mcp
Transport Type: Streamable HTTP
Or click Configure MCP Servers in Cline to open cline_mcp_settings.json and add:
{
"mcpServers": {
"testmu-ai": {
"type": "streamableHttp",
"url": "https://mcp.lambdatest.com/mcp"
}
}
}There is nothing to clone or install. Click Authenticate when it appears to complete the OAuth sign-in.
OpenCode
Add to ~/.config/opencode/opencode.json (global) or opencode.json in your project root:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"testmu-ai": {
"type": "remote",
"url": "https://mcp.lambdatest.com/mcp",
"oauth": {}
}
}
}Then run opencode mcp auth testmu-ai to sign in through your browser. opencode mcp list should show testmu-ai connected.
Kilo Code
Add to ~/.config/kilo/kilo.jsonc:
{
"$schema": "https://app.kilo.ai/config.json",
"mcp": {
"testmu-ai": {
"type": "remote",
"url": "https://mcp.lambdatest.com/mcp"
}
}
}Then open Kilo Settings > Agent Behaviour > MCP Servers and click Sign in next to testmu-ai.
Claude Desktop and other STDIO-only clients
Clients that don't yet support remote HTTP transport can connect through mcp-remote:
{
"mcpServers": {
"testmu-ai": {
"command": "npx",
"args": ["-y", "mcp-remote@latest", "https://mcp.lambdatest.com/mcp"]
}
}
}Supported clients
Cursor · Claude Code · Claude Desktop · GitHub Copilot · OpenAI Codex · Windsurf · Cline · Continue · Zed AI · JetBrains AI Assistant · Antigravity · OpenCode · Kilo Code
Any client implementing the Model Context Protocol should work. Clients with native remote HTTP support connect directly; the rest use the mcp-remote fallback above.
Example prompts
Once connected, ask your assistant things like:
Generate a HyperExecute YAML for my Playwright TypeScript tests and run it.My last automation build failed — pull the console and network logs and tell me why.Summarise the SmartUI visual differences in my latest build.Run an accessibility audit on https://staging.example.com and list WCAG violations by severity.Troubleshooting
Server doesn't appear after editing config Fully quit and reopen the client. Reloading the window is not enough for most clients to re-read MCP configuration.
Config not being picked up Validate the JSON. A trailing comma or mismatched brace will cause the client to silently skip the entry.
npx not found (STDIO fallback)
Confirm Node.js is on your PATH — which npx on macOS/Linux, where npx on Windows. Some clients don't inherit your shell environment, so an absolute path to npx may be needed.
Authentication loop or expired session Clear the stored authentication for this server in your client's MCP settings and reconnect to re-trigger the OAuth flow.
Documentation
Support
Open an issue in this repository for problems with the setup guide itself
This server cannot be deployed
Maintenance
Related MCP Connectors
Approved test intent, reviewed Playwright automation and run evidence, inside your editor.
Direct access to Cypress tests results and accessibility reports in your AI workflow.
Write, run and check natural-language browser tests of your web app from your AI assistant.
Run accessibility, contrast, and design token audits and file QA issues from your AI coding tool.
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