How to Use the BrowserStack MCP in Vercel AI SDK

Q: How do I view BrowserStack test logs in Vercel AI SDK?

Use the getsessionlogs tool to pull text output into your stream. Your AI client will present the logs alongside your code snippets.

Q: Can BrowserStack and Vercel AI SDK work together for real-time monitoring?

Yes, the Vercel AI SDK streams the output of getbuild to your UI. This lets you watch test progress as it happens.

Q: Does BrowserStack integrate with Vercel AI SDK for automated cleanup?

You can trigger deletebuild or deletesession through your agent. It automates the removal of stale test artifacts after your build completes.

Stream BrowserStack test results directly into your Vercel AI SDK frontends for live, interactive debugging sessions.

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Connect BrowserStack MCP to Vercel AI SDK

Create your Vinkius account to connect BrowserStack to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup BrowserStack with Vercel AI SDK

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Live test monitoring in AI SDK

Your Vercel AI SDK interface pulls real-time data from your test infrastructure. Instead of waiting for a build to finish, `get_build` provides immediate status updates that render directly into your React components. You'll see session statuses and logs appear as the AI processes them. It turns raw test data into a visual dashboard without extra API wiring.

Manage BrowserStack sessions via Vercel AI SDK

Cleanup becomes a background task for your agent. When a test suite finishes, `delete_session` clears out the clutter from your workspace automatically. This keeps your dashboard clean while you focus on new code. Your agent handles the session lifecycle so you don't have to manually purge old runs.

Query BrowserStack plans with Vercel AI SDK

Keep tabs on your execution limits without leaving your editor. `get_plan` returns your current parallel session count, letting your agent warn you before you hit a bottleneck. It ensures your CI/CD pipelines don't stall out during peak hours. You get a clear view of your capacity directly inside your dev environment.

Setup guide

Set up BrowserStack MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all BrowserStack tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent BrowserStack transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BrowserStack. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about BrowserStack MCP in Vercel AI SDK

Use the `get_session_logs` tool to pull text output into your stream. Your AI client will present the logs alongside your code snippets.

Yes, the Vercel AI SDK streams the output of `get_build` to your UI. This lets you watch test progress as it happens.

You can trigger `delete_build` or `delete_session` through your agent. It automates the removal of stale test artifacts after your build completes.

This MCP server only touches test metadata, logs, and session states. It never accesses your source code or sensitive credentials.

The connection uses ephemeral tokens managed by your Vercel AI SDK environment. No persistent storage of your credentials occurs outside your runtime.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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