How to Use the Cypress Cloud MCP in Vercel AI SDK

Q: Can Vercel AI SDK report flaky tests from Cypress Cloud?

Yes, trigger reportflaky to get a list of unstable tests. Your Vercel AI SDK app can then highlight these in a dedicated cleanup view.

Q: Can I show slow test reports in Vercel AI SDK?

Use reportslow to identify bottlenecks. Display these metrics directly in your Vercel AI SDK dashboard to prioritize performance fixes.

Stream Cypress Cloud test results directly into your Vercel AI SDK interface for real-time monitoring.

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Connect Cypress Cloud MCP to Vercel AI SDK

Create your Vinkius account to connect Cypress Cloud 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 Cypress Cloud with Vercel AI SDK

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Monitor live test runs in Vercel AI SDK

Feed your UI live status updates by calling `get_run`. Your frontend renders the pass/fail counts as they happen. This MCP Server pushes raw execution data into your stream. Users watch the progress bars fill without waiting for page refreshes.

Inspect spec failures with Vercel AI SDK

Drill down into specific spec files using `get_instance`. You get the exact error message and video URL needed to debug. Your application displays these visual artifacts instantly. It cuts down the time spent jumping between your dashboard and the IDE.

Filter project data inside Vercel AI SDK

Run `list_projects` to grab your specific IDs for dynamic dashboarding. It maps your internal organization structure to your UI components. Building custom reporting tools becomes trivial. You pull the data, format it, and show it to the user in the same component flow.

Setup guide

Set up Cypress Cloud 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 Cypress Cloud 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 Cypress Cloud transactions",
});

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

Get your connection token →

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Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cypress Cloud MCP in Vercel AI SDK

Install the MCP client package and point it at your Vinkius endpoint. Use the generateText function to pass the Cypress Cloud tools to your model.

Yes, trigger `report_flaky` to get a list of unstable tests. Your Vercel AI SDK app can then highlight these in a dedicated cleanup view.

Your test results stay within the secure tunnel between your Vercel AI SDK client and our server. We handle the auth tokens so your credentials aren't exposed in your code.

Use `report_slow` to identify bottlenecks. Display these metrics directly in your Vercel AI SDK dashboard to prioritize performance fixes.

The connection uses encrypted endpoints for all Cypress Cloud transmissions. Only the test run metadata and error logs are fetched for your Vercel AI SDK agent to process.

Use it with your favorite AI tools

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