How to Use the Videco MCP in Vercel AI SDK

Q: How do I check Videco status using Vercel AI SDK?

You call checkvidecostatus and the result streams immediately into your UI. This lets you display connectivity feedback to the user without any loading spinners.

Q: Can Videco help list leads in the Vercel AI SDK?

Yep, use listleads to pull a list of contacts and stream it into your application. This makes displaying lead data feel native to your user interface.

Q: What data types does Videco handle for the Vercel AI SDK?

This MCP Server handles Lead details. You get access to raw, streaming lead information that you can display alongside other real-time UI updates. It's all available right in your client code.

Q: If I build a dashboard with Videco and Vercel AI SDK, what can it do?

You can list all videos using listvideos and display the results live in your app's feed. This allows users to see video inventory updating right before their eyes.

Stream real-time video marketing results directly into your UI with Vercel AI SDK.

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Connect Videco MCP to Vercel AI SDK

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

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Build Live Video Generation Tools

Use `create_video` to generate a personalized video on the fly. This tool handles the entire creation process, allowing you to display progress and final output immediately in your frontend. Need more context? You can also call `list_videos` to show users their history. Since this is built for streaming, the results appear instantly when calling these functions.

Manage Marketing Campaigns Live

Check campaign status right in your UI using `check_videco_status`. You can also call `list_campaigns` and `get_campaign` to show users details on active or archived campaigns. This gives the user a real-time dashboard feel. Data from these calls streams directly into React, making the entire process feel faster than waiting for an API response.

Fetch and Track Video Analytics

Retrieve deep performance data with `get_video_analytics`. This function provides specific metrics you need to display alongside a video player. Complementing this, use `get_video` to fetch the core video file details. The stream keeps your app responsive while fetching complex operational data.

Setup guide

Set up Videco 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 Videco 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 Videco 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 Videco. 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

Live

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%

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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 Videco MCP in Vercel AI SDK

You call `check_videco_status` and the result streams immediately into your UI. This lets you display connectivity feedback to the user without any loading spinners.

Yep, use `list_leads` to pull a list of contacts and stream it into your application. This makes displaying lead data feel native to your user interface.

This MCP Server handles `Lead details`. You get access to raw, streaming lead information that you can display alongside other real-time UI updates. It's all available right in your client code.

Absolutely. The server exposes its tools to the SDK, meaning you can call `create_campaign` and have those results stream directly into any Next.js or Svelte component.

You can list all videos using `list_videos` and display the results live in your app's feed. This allows users to see video inventory updating right before their eyes.

Use it with your favorite AI tools

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