How to Use the Modal (Serverless AI Infrastructure) MCP in Vercel AI SDK

Q: Can Vercel AI SDK stop a Modal (Serverless AI Infrastructure) app?

Yes, you can trigger stopapp through your interface. Just ensure your agent has the right permissions to execute that command.

Stream Modal (Serverless AI Infrastructure) resource data directly into your Vercel AI SDK frontends for live, zero-latency monitoring.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Modal (Serverless AI Infrastructure) MCP to Vercel AI SDK

Create your Vinkius account to connect Modal (Serverless AI Infrastructure) 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

Setup Modal (Serverless AI Infrastructure) with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live status tracking for Vercel AI SDK

Feed your UI real-time data by plugging `list_apps` directly into your stream. You get a clear look at what is running without waiting for a backend poll. Your users see the state update as it happens in the browser. It creates a responsive interface that keeps pace with your serverless tasks.

Inspect infrastructure with Vercel AI SDK

Pull deployment details using `get_deployment` to show health metrics in your dashboard. It avoids the usual boilerplate by letting the agent handle the data fetch. This keeps your React components lean. The data flows from the server to your view layer without extra middleware clutter.

Manage storage via Vercel AI SDK

Verify your persistent data by calling `list_volumes` within your edge functions. You can check mount points and availability before firing off compute jobs. It makes your front-end aware of infrastructure limits. You don't guess if a volume is ready; you show the user the actual status.

Setup guide

Set up Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure) 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 Modal. 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.

Connect Modal (Serverless AI Infrastructure) now

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 Modal (Serverless AI Infrastructure) MCP in Vercel AI SDK

Install the MCP client and pass the server tools into your stream. You call the specific functions like `list_apps` inside your generateText call to pull in the data you need.

Yes, you can trigger `stop_app` through your interface. Just ensure your agent has the right permissions to execute that command.

Yes, the connection uses an endpoint token for authentication. You are only pulling metadata like app IDs and volume names, not sensitive source code.

It does, provided your environment supports the HTTP transport. The tools are lightweight enough for edge execution.

Wrap your tool calls in a standard try-catch block. Since the MCP server returns clear error codes, you can display them directly to the user.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python