Vadoo AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Vadooai Check Generation Status, Vadooai Check Video Status, Vadooai Create Clips, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vadoo AI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Vadoo AI app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Vadoo AI, 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 Vadoo AI MCP Server
Connect your AI agent to Vadoo AI to natively generate multimedia content, clip long videos, and synthesize podcasts directly via text prompts.
The Vercel AI SDK gives every Vadoo AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Video Generation — Create high-quality videos just by typing a descriptive prompt and selecting a voice.
- Clips & Captions — Provide a long video URL and let the AI automatically extract engaging short clips or generate precise subtitles.
- Podcast Creation — Synthesize entire podcast episodes based on a specific topic or script without recording any audio.
- Task Tracking — Query the generation status of your multimedia tasks in real-time.
The Vadoo AI MCP Server exposes 6 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.
All 6 Vadoo AI tools available for Vercel AI SDK
When Vercel AI SDK connects to Vadoo AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-video, podcast-generation, automated-captions, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check video generation status
Get details of a completed video
Create short clips from video
Generate video captions
Generate AI podcast
Generate AI video from prompt
Connect Vadoo AI to Vercel AI SDK via MCP
Follow these steps to wire Vadoo AI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Vadoo AI MCP Server
Vercel AI SDK provides unique advantages when paired with Vadoo AI 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 Vadoo AI integration everywhere
Built-in streaming UI primitives let you display Vadoo AI 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
Vadoo AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vadoo AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vadoo AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vadoo AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vadoo AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vadoo AI through natural language queries
Example Prompts for Vadoo AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vadoo AI immediately.
"Generate a video about the history of artificial intelligence."
"Create short clips from this YouTube video URL: https://youtu.be/example"
"Check the status of my video generation task ID 88992."
Troubleshooting Vadoo AI MCP Server with Vercel AI SDK
Common issues when connecting Vadoo AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVadoo AI + Vercel AI SDK FAQ
Common questions about integrating Vadoo AI 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.