How to Use the eSputnik MCP in Vercel AI SDK

Q: How do I connect the eSputnik MCP Server to Vercel AI SDK?

Install @ai-sdk/mcp and use createMCPClient. Point the HTTP transport URL to your Vinkius endpoint. Call mcpClient.tools() and pass them to your text generation function.

Connect Vercel AI SDK to eSputnik and stream live marketing data straight to your React frontend.

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Connect eSputnik MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Live audience syncing

The `create_contact` tool lets your Vercel AI SDK client push new leads directly into eSputnik. Writing custom API wrappers is a waste of time. Your users just type an email address into the chat, and the agent handles the rest. Moving contacts around happens instantly. Your agent pulls available segments using `list_groups`, then runs `attach_to_group` to drop the new lead exactly where they belong. The UI updates in real-time while the backend does the heavy lifting.

Direct campaign messaging

The `send_smart_send` tool triggers omnichannel campaigns straight from your Next.js application. Streaming this action means your end user doesn't stare at a blank screen wondering if the email actually went out. Tracking delivery is just as fast. The agent calls `get_message_status` to check if that critical SMS bounced or landed. You get immediate feedback piped directly into your frontend components.

Database search via MCP Server

The `search_contacts` tool inside this MCP Server hunts down specific phone numbers or emails across your entire eSputnik database. You just pass the query through `streamText` and watch the results render component by component. Keeping your lists clean matters for deliverability. Pulling the `list_unsubscribed` data gives your application immediate visibility into who opted out. That prevents you from accidentally spamming people who already said no.

Setup guide

Set up eSputnik 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 eSputnik 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 eSputnik 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 eSputnik. 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 eSputnik MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and use `createMCPClient`. Point the HTTP transport URL to your Vinkius endpoint. Call `mcpClient.tools()` and pass them to your text generation function.

Yes. Vercel AI SDK streams the tool execution results back to the client. When your agent fetches a contact, the React component updates live.

It works perfectly on the edge. You just need to ensure you call `mcpClient.close()` when the request finishes to prevent hanging connections.

Vinkius manages the underlying API keys. Your application just passes a single endpoint token via the `authProvider` configuration.

Only the specific email addresses and phone numbers you request pass through the V8 Isolate Sandbox. The connection is ephemeral, meaning no contact records persist in the middleware after the stream closes.

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