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Tubular MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Health, Get Api Rate Limits, Get Audience Overlap, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tubular through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Tubular app connector for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 12 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 Tubular, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Tubular
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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 Tubular MCP Server

Connect your Tubular Labs video intelligence account to any AI agent and simplify how you analyze digital video trends, creator performance, and cross-platform audience metrics through natural conversation.

The Vercel AI SDK gives every Tubular tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 Insights — Retrieve detailed performance metrics and trending data for individual videos or categories across social platforms.
  • Creator Intelligence — Search for creators and fetch high-level performance summaries, trends, and audience ratings.
  • Audience Demographics — Analyze audience breakdowns (age, gender, location) for specific videos or creators to refine your targeting.
  • Sponsorship Tracking — List brand sponsors and monitor sponsored video campaigns to understand the competitive landscape.
  • Audience Overlap — Analyze shared audience between two creators or content properties to identify partnership opportunities.
  • Operational Monitoring — Check API health and rate limits to ensure your intelligence engine is always running.

The Tubular MCP Server exposes 12 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 12 Tubular tools available for Vercel AI SDK

When Vercel AI SDK connects to Tubular through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-intelligence, audience-insights, competitive-benchmarking, 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_api_health

Check API health status

get_api_rate_limits

Get current API rate limits

get_audience_overlap

Analyze shared audience between entities

get_audience_ratings

Get reach and engagement ratings

get_creator_summary

Get summary for a specific creator

get_creator_trends

Get trends for a specific creator

get_video_demographics

) for a specific video. Get audience demographics for a video

get_video_insights

Get insights for a specific video

get_video_trends

List trending videos

list_sponsored_campaigns

List sponsored video campaigns

list_sponsors

List sponsors and brand partners

search_creators

g., name or keywords). Search for creators

Connect Tubular to Vercel AI SDK via MCP

Follow these steps to wire Tubular 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 12 tools from Tubular and passes them to the LLM

Why Use Vercel AI SDK with the Tubular MCP Server

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

03

Built-in streaming UI primitives let you display Tubular 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

Tubular + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Tubular in Vercel AI SDK

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

01

"Search for top gaming creators in my region."

02

"Show me the audience overlap between creator 'A-101' and 'B-552'."

03

"List all active sponsored video campaigns from 'TechBrand Inc'."

Troubleshooting Tubular MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Tubular + Vercel AI SDK FAQ

Common questions about integrating Tubular 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.