How to Use the Vadoo AI MCP in Mastra AI

Q: Can Vadoo AI generate podcasts using Mastra AI?

Yep. You send a prompt, and the tool vadooaigeneratepodcast handles the heavy lifting. It creates an entire podcast file for you to use in your multi-step workflow.

Q: Does Vadoo AI support checking the status of a finished video using Mastra AI?

Absolutely. After vadooaigeneratevideo completes, you use vadooaicheckvideostatus. This gives you all the necessary details about that specific completed file.

Automate media pipelines with Mastra AI's structured workflows.

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Connect Vadoo AI MCP to Mastra AI

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Setup Vadoo AI with Mastra AI

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Build complex video generation chains.

Start by generating initial content using `vadooai_generate_video`. You can then chain that output: call `vadooai_create_clips` to pull specific segments, or use the raw file ID in a subsequent step. This lets you build whole media pipelines from one script.

Manage asynchronous content status.

When generating anything—a video, podcast, or caption set—it takes time. Mastra AI handles this by letting you check progress using `vadooai_check_generation_status`. You can poll the endpoint until it returns success before trying to access the final data.

Process and structure media outputs.

Once a video is done, don't just look at it—process it. Use `vadooai_check_video_status` to get all the metadata you need. Then, run `vadooai_generate_caption` over that output file ID to automatically generate closed captions for immediate use.

Setup guide

Set up Vadoo AI 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 Vadoo AI 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: "vadoo-ai-mcp-client",
  servers: {
    "vadoo-ai-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Vadoo AI 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 Vadoo AI. 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 Vadoo AI MCP in Mastra AI

Mastra AI's built-in workflow engine is designed for this. If a step fails—say, the video generation times out—you can define retry logic with exponential backoff. The whole process doesn't crash; it just tries again.

Yep. You send a prompt, and the tool `vadooai_generate_podcast` handles the heavy lifting. It creates an entire podcast file for you to use in your multi-step workflow.

This server deals with video media and associated metadata, including status IDs and text captions. You're mainly working with file references and generation status objects within your TypeScript agent.

Absolutely. After `vadooai_generate_video` completes, you use `vadooai_check_video_status`. This gives you all the necessary details about that specific completed file.

Mastra AI lets you define conditional branching. If Step A fails (e.g., payment error), the agent can automatically move to Step B (retry with a different method) instead of just stopping.

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