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How to Use the Vercel Alternative MCP in Vercel AI SDK

Stream data into your UI with Vercel Alternative and the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Vercel Alternative MCP to Vercel AI SDK

Create your Vinkius account to connect Vercel Alternative 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.

GDPR Free for Subscribers

Track Deployment Status in Real Time

Need to show a user exactly when their build is ready? Use `get_logs` to fetch runtime entries. You can filter by project ID and set specific time ranges, giving your client an instant debugging view. This tool streams log messages, timestamps, and sources directly into the UI. Instead of making the user wait for a page reload, they see the deployment process unfold live.

Fetch User Details Instantly

Verify who's running the show with `get_user`. It returns the authenticated Vercel user's ID, email, and username. This is simple data that needs to appear immediately on a dashboard. Since this information streams into your front end, you don't hit loading spinners just to display basic account metadata.

List Active Deployments via `list_deployments`

Building an application overview? Call `list_deployments` to get IDs, URLs, and current statuses (like ERROR or READY). You can optionally filter these results by a specific project ID. This data streams so you can build out the status board in real time. The user sees exactly how many deployments exist without waiting for the full API response cycle.

Setup guide

Set up Vercel Alternative 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Vercel Alternative transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vercel. 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

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

Real-time monitoring

Live

visibility into every interaction

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

One

place for every integration

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

Common questions about Vercel Alternative MCP in Vercel AI SDK

You use `get_domain` by providing just the domain name. It immediately gives you all the necessary configuration details for that specific domain, which is perfect for streaming into a settings panel.
It exposes various account and project metadata. Specifically, you can retrieve deployment logs, user accounts, domain records, and environment variable lists for the current project.
You'll use `list_projects` to get a list of deployed applications. This returns the project ID, name, framework, and git repo details, allowing you to build out your application inventory live.
Yes. You call `list_env_vars` providing the project ID. It returns variable keys, their target environments, and types—but remember, it never exposes the actual variable values for security.
This MCP Server handles user account metadata (username, email), project configuration details, and deployment runtime logs. All of this is passed through your agent for processing.

Start using the Vercel Alternative MCP today

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Built & Managed by Vinkius 30s setup 14 tools

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