How to Use the Customer.io MCP in Vercel AI SDK

Stream Customer.io engagement data and profile updates straight into your Next.js frontend using the Vercel AI SDK.

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…and any MCP-compatible client

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Connect Customer.io MCP to Vercel AI SDK

Create your Vinkius account to connect Customer.io 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 Customer.io with Vercel AI SDK

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Stream Live Profiles to React

Executing `get_customer_details` streams custom attributes and device tokens straight into your DOM. Your end users never stare at loading spinners while the Vercel AI SDK fetches marketing data. Real-time UI rendering happens automatically as the agent pulls the profile. The `search_customers_by_email` tool lets your chat interface resolve identifiers on the fly. Finding those users happens instantly. When someone asks about an account, the Vercel agent hits the Customer.io server and types out the response while the payload is still arriving.

Vercel AI SDK Campaign Dashboards

Calling `get_campaign_performance` pulls sent, opened, clicked, and converted counts directly from the analytics engine. Building a live reporting widget is simple when the model handles the data fetching. The numbers appear on screen the second the HTTP chunk resolves. Pairing this with `get_engagement_summary` delivers high-level KPIs instantly. Your Next.js app just asks the Customer.io MCP Server instead of writing custom API routes for every metric. The streaming response updates your chart components tick by tick.

Update Segments from the Edge

Triggering `identify_customer` mutates the workspace identity database directly from the edge. Edge functions work perfectly with this setup since Vinkius handles the underlying infrastructure. Profile states update immediately without blocking the main thread. Running `list_customer_segments` checks dynamic or manual segment memberships just as fast. Your UI stays snappy because the Vercel AI SDK manages the tool execution state. Meanwhile, the MCP connection securely handles the backend mutation.

Setup guide

Set up Customer.io 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 Customer.io 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 Customer.io 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 Customer.io. 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 Customer.io 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 Customer.io MCP in Vercel AI SDK

Install both ai and @ai-sdk/mcp via npm. Create the connection with createMCPClient({ transport: { type: "http", url: "VINKIUS_URL" } }). Call mcpClient.tools() and pass the array directly to streamText.

Yes. The SDK streams the tool execution results directly to your React components. When the model calls list_automated_campaigns, the UI updates incrementally as the campaign IDs and trigger types arrive.

No. Vinkius manages the authentication layer entirely. You only provide your Vinkius endpoint token to the client, keeping your marketing API keys out of your edge environment.

Always call mcpClient.close() when your route handler finishes. Leaving connections open will drain your serverless function limits and cause memory leaks in long-running processes.

This server reads custom attributes, email addresses, and device tokens. The V8 Isolate Sandbox guarantees that every request runs in an ephemeral, zero-trust environment. Nothing gets cached, and the memory drops the millisecond the HTTP response finishes.

Use it with your favorite AI tools

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

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