How to Use the Tubular MCP in Vercel AI SDK

Q: How do I search for creators using Tubular and Vercel AI SDK?

You use the searchcreators tool. Your agent passes a name or keywords to this function, which returns a list of matching profiles immediately. You can then stream that initial list into your UI.

Q: Can I track trends with Tubular and Vercel AI SDK?

Yes. To see what's hot right now, you can call getvideotrends to list trending videos across the platforms. You can also drill down on a specific creator’s popularity by calling getcreatortrends.

Q: Does Tubular support listing campaigns with Vercel AI SDK?

Yep, you can pull campaign data using listsponsoredcampaigns. This helps your app build a comprehensive view of brand presence in the market. It's useful for competitive analysis.

Q: Where do I find demographic information with Tubular and Vercel AI SDK?

You use getvideodemographics to get detailed data on a specific video. This shows who is watching the content, which is critical for targeted marketing campaigns built into your app.

Watch social video analytics results stream live into your UI with Vercel AI SDK.

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Connect Tubular MCP to Vercel AI SDK

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

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Real-Time Audience Insights for Vercel AI SDK

When a user clicks 'Analyze,' the data appears instantly. Use `get_audience_overlap` to show shared viewing pools between brands, and then call `get_audience_ratings` to display reach scores in real time. Because this is an Edge Function compatible MCP Server, you can stream complex results like video demographics (`get_video_demographics`) directly into React or Next.js components without waiting for a full loading spinner.

Monitoring and Status Checks with the MCP Server

You need to show your users that the tool is working, right off the bat. Call `check_api_health` first; it's a fast endpoint check. After confirming status, you can also monitor usage by checking current limits using `get_api_rate_limits`. This structure lets you build user-facing products where the end user sees immediate feedback about API status before running intensive analyses like finding all available sponsors via `list_sponsors`.

Discovering Competition with Vercel AI SDK

Finding who's playing in your market is simple. Use `search_creators` to find potential partners or competitors by name or keywords. Then, run `get_creator_summary` on the top results so your agent can present a quick comparison. It’s perfect for building a dashboard that lets users compare multiple accounts quickly. You just pass the list of names into the client and let your AI client handle the rest.

Setup guide

Set up Tubular 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 Tubular 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 Tubular 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 Tubular. 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.

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Common questions about Tubular MCP in Vercel AI SDK

You use the `search_creators` tool. Your agent passes a name or keywords to this function, which returns a list of matching profiles immediately. You can then stream that initial list into your UI.

This MCP Server primarily touches public social video metrics and creator metadata, specifically audience demographics and reach ratings. It never handles private user account passwords or payment information.

Yes. To see what's hot right now, you can call `get_video_trends` to list trending videos across the platforms. You can also drill down on a specific creator’s popularity by calling `get_creator_trends`.

Yep, you can pull campaign data using `list_sponsored_campaigns`. This helps your app build a comprehensive view of brand presence in the market. It's useful for competitive analysis.

You use `get_video_demographics` to get detailed data on a specific video. This shows who is watching the content, which is critical for targeted marketing campaigns built into your app.

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