How to Use the Atlas MCP in Vercel AI SDK

Build live customer support interfaces by streaming Atlas data straight into your React app using Vercel AI SDK.

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Connect Atlas MCP to Vercel AI SDK

Create your Vinkius account to connect Atlas 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 Atlas with Vercel AI SDK

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Claude

Perplexity

Stream Atlas data with Vercel AI SDK

End users hate waiting for support portals to load. You can bypass the spinner entirely by pulling `get_ticket` and `get_customer` data straight into the UI as the LLM generates the response. The connection happens at the edge. Your application fetches the context, formats the payload, and renders the specific customer history live on the screen without intermediate database hops.

Interactive ticket generation

Chat interfaces fall flat when users have to leave the window to file a bug. Wire up the `create_ticket` tool so the agent handles the submission while keeping the user engaged in the conversation. It reads the dialogue context, pulls the user ID, and fires off the request. Confirmation streams back immediately so the customer knows their issue actually hit the queue.

Live knowledge base access

Static FAQ pages rarely solve complex problems. Hooking this MCP Server up to your frontend lets the agent pull from `list_articles` dynamically based on what the user is typing right now. The bot reads the current query, fetches the relevant help center document, and synthesizes an answer. Everything renders instantly via the standard streamText function.

Setup guide

Set up Atlas 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 Atlas 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 Atlas 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 Atlas. 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.

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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 Atlas MCP in Vercel AI SDK

Call createMCPClient with your Vinkius endpoint URL. Pass the resulting tools object directly into your generateText or streamText function call.

Yes, the SDK handles the streaming out of the box. When the agent calls `get_ticket`, the resulting JSON payload flows right into your frontend components as it arrives.

Vinkius endpoints work perfectly on Vercel Edge. Just ensure you call close on the client after the tool execution finishes so you do not leave dangling connections.

The tool returns an error state to the agent. You can catch this in your application logic and render a fallback UI component instead of crashing the chat.

Vinkius runs the connection in an ephemeral V8 Isolate sandbox. Your support queries, user profiles from `get_customer`, and ticket logs pass through a zero-trust tunnel and disappear the moment the request ends.

Use it with your favorite AI tools

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