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TestMu AI (formerly LambdaTest) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TestMu AI (formerly LambdaTest) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using TestMu AI (formerly LambdaTest), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About TestMu AI (formerly LambdaTest) MCP Server

Connect your TestMu AI (formerly LambdaTest) account to any AI agent and take full control of your cross-browser testing and automation orchestration through natural conversation.

The Vercel AI SDK gives every TestMu AI (formerly LambdaTest) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Build Orchestration — List all test automation builds and retrieve high-level aggregated telemetry for Selenium, Playwright, or Cypress suites directly from your agent
  • Session Inspection — Deep-dive into individual browser test sessions to extract console errors, network configurations, and exact metadata required for rapid debugging
  • Visual Artifacts — Fetch absolute URLs for bug screenshots and full video recordings of browser executions to reproduce flakey UI issues instantly
  • Precision Logging — Extract command-level logs including W3C WebDriver protocols or Playwright RPC calls with precise execution timestamps
  • Tunnel & Platform Audit — Monitor active secure tunnels for localhost testing and query the grid for supported macOS, Windows, iOS, and Android capabilities
  • Environment Mapping — Filter and retrieve all child test sessions nested under specific CI/CD builds to isolate and analyze deployment regressions

The TestMu AI (formerly LambdaTest) MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect TestMu AI (formerly LambdaTest) to Vercel AI SDK via MCP

Follow these steps to integrate the TestMu AI (formerly LambdaTest) MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from TestMu AI (formerly LambdaTest) and passes them to the LLM

Why Use Vercel AI SDK with the TestMu AI (formerly LambdaTest) MCP Server

Vercel AI SDK provides unique advantages when paired with TestMu AI (formerly LambdaTest) through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same TestMu AI (formerly LambdaTest) integration everywhere

03

Built-in streaming UI primitives let you display TestMu AI (formerly LambdaTest) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

TestMu AI (formerly LambdaTest) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the TestMu AI (formerly LambdaTest) MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query TestMu AI (formerly LambdaTest) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate TestMu AI (formerly LambdaTest) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed TestMu AI (formerly LambdaTest) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with TestMu AI (formerly LambdaTest) through natural language queries

TestMu AI (formerly LambdaTest) MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect TestMu AI (formerly LambdaTest) to Vercel AI SDK via MCP:

01

get_build

Get exact telemetry for a specific LambdaTest build

02

get_build_sessions

Extract all explicit test sessions associated with a Build

03

get_screenshots

saveScreenshot()` or failure-hook logic within the LambdaTest grid. Fetch visual bug screenshots captured during a test session

04

get_session

Identifies explicit console errors, network configuration, and URL artifacts necessary to debug why a specific UI interaction failed. Get deep context for a specific automated test session

05

get_session_logs

Extract precise Selenium/Appium command logs for a test

06

get_video

Retrieve the full video recording URL for a test execution

07

list_builds

Groups thousands of executed Selenium, Cypress, Playwright, or Appium browser tests into their respective parent CI/CD builds. List all test automation builds on LambdaTest Cloud

08

list_platforms

Returns exactly which combinations of macOS, Windows, iOS, and Android versions are actively available in the testing grid. List all supported OS/browser capabilities available

09

list_sessions

Provides OS, Browser version, execution duration, and final completion status of the Selenium/Playwright scripts. List recent automated test sessions executed on LambdaTest

10

list_tunnels

List all active secure Tunnels (UnderTest tunnels)

Example Prompts for TestMu AI (formerly LambdaTest) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TestMu AI (formerly LambdaTest) immediately.

01

"List the last 5 automation builds in my TestMu AI account"

02

"Show me the logs and screenshots for session ID 'abc-123-xyz'"

03

"Which OS and browser versions are currently supported in the grid?"

Troubleshooting TestMu AI (formerly LambdaTest) MCP Server with Vercel AI SDK

Common issues when connecting TestMu AI (formerly LambdaTest) to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

TestMu AI (formerly LambdaTest) + Vercel AI SDK FAQ

Common questions about integrating TestMu AI (formerly LambdaTest) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect TestMu AI (formerly LambdaTest) to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.