How to Use the Tubular MCP in Mastra AI

Q: How do I check video insights using Tubular and Mastra AI?

Use getvideoinsights to get a deep dive into performance data for any given video. Since this is part of the MCP Server, you can integrate that result into complex workflows that handle failures if the API call fails.

Q: Can I find all brand partners with Tubular and Mastra AI?

Absolutely. You list potential partners using listsponsors. This tool gives you a structured list of brands and campaign information, which your workflow can then pass to other analysis tools.

Q: Is it possible to compare multiple creators with Tubular and Mastra AI?

Yes. You run getcreatorsummary on several different accounts in sequence within a single workflow. This lets you gather comparative data points that would otherwise require manual reporting.

Build reliable analytics pipelines using Mastra AI's workflow engine and Tubular MCP Server.

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Connect Tubular MCP to Mastra AI

Create your Vinkius account to connect Tubular to Mastra AI 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 Mastra AI

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Perplexity

Complex Workflow Management with the MCP Server

The real power here is handling failure. You can set up a sequence: check rates via `get_api_rate_limits`. If limits are hit, your workflow fails gracefully and automatically retries later using exponential backoff. This means you build multi-step processes that don't break when external services hiccup. It’s built for reliability.

Audience Overlap Analysis for Mastra AI

Need to know if two brands share an audience? Use `get_audience_overlap`. This tool analyzes shared viewer pools between different entities. You can then combine that data with `get_video_demographics` to see exactly where the overlap occurs. This allows you to build a highly dependable marketing workflow: check demographics, calculate overlaps, and confirm targeting potential.

Tracking Creator Performance for Mastra AI

You can automate monitoring of key accounts. Start by getting an overview with `get_creator_summary`. Then, use `get_creator_trends` to predict future performance or spot sudden dips in engagement. This is ideal for workflows that need continuous checking on influencer marketing efforts. Mastra AI handles the scheduling and retrying if the API hiccups.

Setup guide

Set up Tubular MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Tubular tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "tubular-mcp-client",
  servers: {
    "tubular-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Tubular Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Tubular tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Tubular transactions"
);
console.log(result.text);

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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 Mastra AI

Use `get_video_insights` to get a deep dive into performance data for any given video. Since this is part of the MCP Server, you can integrate that result into complex workflows that handle failures if the API call fails.

The server handles public social metrics and creator metadata. It processes audience demographics and engagement ratings, but it doesn't access private user account details or financial records.

Absolutely. You list potential partners using `list_sponsors`. This tool gives you a structured list of brands and campaign information, which your workflow can then pass to other analysis tools.

Yes. You run `get_creator_summary` on several different accounts in sequence within a single workflow. This lets you gather comparative data points that would otherwise require manual reporting.

The tool provides detailed audience demographics for specific videos, allowing you to pinpoint viewer characteristics based on content performance metrics and reach ratings.

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