Videco MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Videco Status, Create Campaign, Create Video, and more

Name: Videco
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Videco 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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The Videco MCP Server for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Videco, 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 Videco MCP Server

Connect your Videco account to any AI agent and manage personalized videos, campaigns, leads, and analytics through natural conversation.

The Vercel AI SDK gives every Videco 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

Video Management u2014 Create, list, and review personalized videos from your template library
Campaign Management u2014 Create and monitor video campaigns with audience targeting and delivery metrics
Lead Tracking u2014 Access all leads captured from video interactions with engagement scores
Video Analytics u2014 View detailed metrics including views, watch time, drop-off points, and CTA click rates
Template-Based Creation u2014 Generate new personalized videos instantly from existing templates

The Videco MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Videco tools available for Vercel AI SDK

When Vercel AI SDK connects to Videco through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-campaigns, personalized-video, lead-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check videco status on Videco

Verify Videco API connectivity

create

Create campaign on Videco

Create a campaign

create

Create video on Videco

Create a personalized video

get

Get campaign on Videco

Get campaign details

get

Get lead on Videco

Get lead details

get

Get video on Videco

Get video details

get

Get video analytics on Videco

Get video analytics

list

List campaigns on Videco

List all campaigns

list

List leads on Videco

List all leads

list

List videos on Videco

List all videos

Connect Videco to Vercel AI SDK via MCP

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

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 Videco and passes them to the LLM

Why Use Vercel AI SDK with the Videco MCP Server

Vercel AI SDK provides unique advantages when paired with Videco 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 Videco integration everywhere

Built-in streaming UI primitives let you display Videco 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

Videco + Vercel AI SDK Use Cases

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

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

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

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

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

Example Prompts for Videco in Vercel AI SDK

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

"List all my personalized videos."

"Show analytics for video VID-2048."

"Create a campaign called 'Spring Launch' with video VID-2048."

Troubleshooting Videco MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Videco + Vercel AI SDK FAQ

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

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.