How to Use the D-ID MCP in Vercel AI SDK

Q: Can D-ID and Vercel AI SDK handle long videos?

Yes, but keep an eye on your limits. You should check getcredits before starting a long render to ensure your account has enough balance.

Stream D-ID talking head videos straight into your React UI using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect D-ID MCP to Vercel AI SDK

Create your Vinkius account to connect D-ID 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 D-ID with Vercel AI SDK

Ask AI about this MCP

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Claude

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Generate talking avatars with Vercel AI SDK

Feed text directly to `create_talk` to render lip-synced videos within your frontend components. Your users see the avatar animate as the video result streams back from the server. This MCP Server handles the heavy lifting so your Edge Functions stay lean. You just pipe the output into your video player state.

Manage your D-ID assets in real-time

Use `list_presenters` to fetch available stock characters for your interface. You can display these options to users before they trigger a video generation request. Building dynamic content becomes trivial when you query `get_credits` to check your remaining balance. You’ll know exactly when to hide the 'Create' button.

Automate avatar creation from audio files

Pipe pre-recorded user audio into `create_talk_audio` to sync character expressions instantly. This works perfectly for building interactive booths where users upload their own voice clips. Monitor progress with `get_talk` to update your UI status indicators. The result URL lands in your app the moment the processing finishes.

Setup guide

Set up D-ID 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 D-ID 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 D-ID 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 D-ID. 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

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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 D-ID MCP in Vercel AI SDK

Install the MCP client package and connect via HTTP transport. You call the tools directly within your streamText function to bridge the gap between your server and the video service.

Yes, but keep an eye on your limits. You should check `get_credits` before starting a long render to ensure your account has enough balance.

Your API keys never touch the client-side browser. All communication happens server-side, keeping your D-ID credentials hidden from end users.

The server returns an error status through the tool response. You should implement basic try-catch blocks to handle these failures and notify your user.

This server only processes the text and audio files you explicitly send to the API. We store no persistent copies of your source images beyond what the D-ID platform requires to generate your requested video.

Use it with your favorite AI tools

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

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