D-ID MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect D-ID through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using D-ID, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About D-ID MCP Server
Connect your D-ID account to any AI agent and take full control of your AI video generation and digital human workflows through natural conversation.
The Vercel AI SDK gives every D-ID tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Talking Avatar Generation — Create high-quality videos where an AI avatar speaks your text with precise lip-sync and natural expressions using Microsoft or Amazon TTS
- Audio-to-Video Sync — Provision talking avatars from pre-recorded audio files, allowing the agent to generate videos that match your literal audio boundaries
- Digital Presenters — List and retrieve available D-ID stock presenters including pre-built digital humans and background options for fast video production
- Media Uploads — Upload face images to D-ID servers to use them as custom avatar sources for your personalized video content
- Run Monitoring — Track the status of your talks and clips (created, started, done, error) and retrieve final result URLs when processing is complete
- Credit Auditing — Get your current D-ID credit balance and plan info to verify remaining limits and manage video generation quotas
The D-ID MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect D-ID to Vercel AI SDK via MCP
Follow these steps to integrate the D-ID MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from D-ID and passes them to the LLM
Why Use Vercel AI SDK with the D-ID MCP Server
Vercel AI SDK provides unique advantages when paired with D-ID through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same D-ID integration everywhere
Built-in streaming UI primitives let you display D-ID tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
D-ID + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the D-ID MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query D-ID in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate D-ID tools and return structured JSON responses to any frontend
Chatbots with tool use: embed D-ID capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with D-ID through natural language queries
D-ID MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect D-ID to Vercel AI SDK via MCP:
create_clip
Create a D-ID clip using a stock presenter (no image needed). Pre-built digital humans with backgrounds
create_talk
Create a talking avatar video using D-ID. An AI avatar speaks your text with lip-sync and natural expressions
create_talk_audio
Create a D-ID talking avatar from a pre-recorded audio file. Avatar lip-syncs to your audio
delete_talk
Delete a D-ID talk
get_clip
Get status of a D-ID clip. Returns status and result URL
get_credits
Get current D-ID credit balance and plan info
get_talk
Wait for creation to finish. Get status of a D-ID talk. Returns status (created/started/done/error), result_url when done
list_presenters
List available D-ID presenters. Returns presenter IDs, names, and preview images
list_talks
List all D-ID talks. Returns talk IDs, statuses, and creation timestamps
upload_image
Upload a face image to D-ID for use as avatar source. Returns image URL
Example Prompts for D-ID in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with D-ID immediately.
"Create a talking avatar video with script: 'Welcome to our new platform!'"
"List all available D-ID presenters"
"How many credits do I have left in D-ID?"
Troubleshooting D-ID MCP Server with Vercel AI SDK
Common issues when connecting D-ID to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpD-ID + Vercel AI SDK FAQ
Common questions about integrating D-ID MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect D-ID with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect D-ID to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.