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Vadoo MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Add Captions, Create Clips, Generate Podcast, and more

Built by Vinkius GDPR 6 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vadoo 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 app connector for Vercel AI SDK is a standout in the Marketing Automation 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

typescript
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, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 MCP Server

Connect your Vadoo AI account to any AI agent and simplify how you generate, edit, and optimize your video content through natural conversation.

The Vercel AI SDK gives every Vadoo 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

  • AI Video Generation — Create high-quality videos from simple text prompts or scripts instantly.
  • Viral Clip Creation — Extract short, social-media-ready clips from long-form video URLs (like YouTube).
  • Automated Captioning — Generate and overlay captions onto your videos to increase engagement and accessibility.
  • AI Podcasts — Trigger the creation of conversational 2-person podcasts from any topic or text source.
  • Content Library — List all your generated videos and retrieve direct download links and metadata.

The Vadoo 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 tools available for Vercel AI SDK

When Vercel AI SDK connects to Vadoo through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-video-generation, video-editing, viral-clips, 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.

add_captions

Add captions to a video

create_clips

Generate viral clips from a video

generate_podcast

Generate an AI podcast

generate_video

Generate a new AI video

get_video_details

Get details for a specific video

list_videos

List your Vadoo AI videos

Connect Vadoo to Vercel AI SDK via MCP

Follow these steps to wire Vadoo into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from Vadoo and passes them to the LLM

Why Use Vercel AI SDK with the Vadoo MCP Server

Vercel AI SDK provides unique advantages when paired with Vadoo through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Vadoo integration everywhere

03

Built-in streaming UI primitives let you display Vadoo tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Vadoo + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Vadoo MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Vadoo in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Vadoo tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Vadoo capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Vadoo through natural language queries

Example Prompts for Vadoo in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vadoo immediately.

01

"List all the AI videos I've generated so far."

02

"Create viral clips from this YouTube video: https://youtube.com/watch?v=123."

03

"Generate a vertical AI video about 'The future of remote work'."

Troubleshooting Vadoo MCP Server with Vercel AI SDK

Common issues when connecting Vadoo to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Vadoo + Vercel AI SDK FAQ

Common questions about integrating Vadoo MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.