How to Use the Dialpad MCP in Vercel AI SDK

Q: How do I initialize the Dialpad MCP Server using the Vercel AI SDK?

Install @ai-sdk/mcp and ai, then use createMCPClient pointing to the Vinkius MCP Server URL. Pass the returned tools directly to streamText and close the connection with mcpClient.close() when the execution finishes.

Q: Can the Vercel AI SDK handle Dialpad call statistics?

Yes, the SDK calls listcallstatistics to fetch rejected call paths. The AI client parses these logs on the edge, outputting structured performance data straight to your user dashboard.

Q: Does this MCP integration support Dialpad presence updates?

It does, using the updatepresencestatus tool to alter desktop status strings. Your Vercel AI SDK app can trigger these updates based on agent activity in the browser tab.

Q: How do we manage IVR routing tables?

Use the listivrdepartments tool to retrieve active IVR arrays. The AI client reads this structure to map your phone tree inside the workspace.

Pipe live Dialpad call logs and office texts directly to your React components using the Vercel AI SDK.

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Connect Dialpad MCP to Vercel AI SDK

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

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Live SMS UI updates via Vercel AI SDK

The `dispatch_office_sms` tool allows your React frontend to send outbound Dialpad texts without waiting for a backend cycle. Your Vercel AI SDK client initiates the text, and the Vercel AI SDK streams the Dialpad delivery status directly to the user's screen. This eliminates the blank loading states that ruin modern Dialpad customer support interfaces. Users see the exact moment the Dialpad text hits the carrier network, making the Vercel AI SDK conversation feel conversational and instant.

Real-time telephony feed rendering

The `list_raw_call_logs` tool pulls active Dialpad telephony data directly into your edge-rendered Vercel AI SDK dashboard. By feeding these logs directly to your AI client, the Vercel AI SDK displays incoming Dialpad call events as they happen. You don't need a heavy polling infrastructure to watch your Dialpad lines with the Vercel AI SDK. The Vercel AI SDK edge function handles the raw Dialpad payload, filters out the noise, and pushes clean call data to the client UI.

Instant team directory sync

The `upsert_business_contact` tool handles Dialpad directory updates directly from user interactions in your Next.js application. Our Vercel AI SDK implementation processes the contact details and writes them to Dialpad without page reloads. If a user changes a phone number, the update propagates through this Dialpad MCP Server immediately. The Vercel AI SDK ensures the UI reflects the Dialpad change the millisecond the API confirms the write.

Setup guide

Set up Dialpad 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 Dialpad 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 Dialpad transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dialpad. 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.

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Common questions about Dialpad MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and `ai`, then use `createMCPClient` pointing to the Vinkius MCP Server URL. Pass the returned tools directly to `streamText` and close the connection with `mcpClient.close()` when the execution finishes.

Yes, the SDK calls `list_call_statistics` to fetch rejected call paths. The AI client parses these logs on the edge, outputting structured performance data straight to your user dashboard.

It does, using the `update_presence_status` tool to alter desktop status strings. Your Vercel AI SDK app can trigger these updates based on agent activity in the browser tab.

Use the `list_ivr_departments` tool to retrieve active IVR arrays. The AI client reads this structure to map your phone tree inside the workspace.

Your data never stays on the Vinkius platform. All call logs pulled via `list_raw_call_logs` and text payloads from `dispatch_office_sms` pass through ephemeral, zero-trust V8 isolates that process the MCP payloads and destroy memory allocation immediately after the edge function terminates.

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