How to Use the Dialog Insight MCP in Vercel AI SDK

Stream Dialog Insight marketing data directly into your Vercel AI SDK frontends for live, real-time UI updates.

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…and any MCP-compatible client

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Connect Dialog Insight MCP to Vercel AI SDK

Create your Vinkius account to connect Dialog Insight 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 Dialog Insight with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live contact management in your AI-SDK interface

Your AI client can now pull live data directly from your database. Use `list_marketing_contacts` and `search_contacts_by_email` to display records instantly. Everything happens in your edge functions. The user sees results appear as the AI calls these functions instead of waiting for a full page refresh.

Real-time campaign performance visibility

Keep your dashboard updated with the latest engagement numbers. Your agent uses `get_campaign_performance` and `list_high_performing_campaigns` to report on active efforts. This MCP Server provides the raw numbers you need to render charts. You get the telemetry you need without writing custom API wrappers.

Account metadata and automation tracking

Monitor your marketing infrastructure through your own UI components. Your agent checks `get_account_metadata` to see current limits and `list_active_automations` to see what is running. This keeps your users informed about their account state. You build the view, this server provides the data.

Setup guide

Set up Dialog Insight 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 Dialog Insight 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 Dialog Insight 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 Dialog Insight. 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 Dialog Insight 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 Dialog Insight MCP in Vercel AI SDK

Install the MCP client packages and point them to your server endpoint. You then pass the tool definitions into your streamText calls to give your agent access to your data.

Yes. Since this is an MCP Server, your agent can stream tool results directly into your React or Next.js components as they arrive from the API.

It does. By using edge functions, you can handle the API requests and push the data to your UI as soon as the tool execution completes.

Use environment variables to store your API keys securely. You can then pass these to the server during the initial connection setup.

Your data stays between your agent and the API. The server acts as a bridge, reading only what is necessary to fulfill your request and nothing more.

Use it with your favorite AI tools

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