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How to Use the Vadoo AI MCP in OpenAI Agents SDK

Build production video pipelines with OpenAI Agents SDK.

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Works with every AI agent you already use

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OpenAI Agents SDK

Connect Vadoo AI MCP to OpenAI Agents SDK

Create your Vinkius account to connect Vadoo AI to OpenAI Agents 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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Generate full videos from text prompts.

Call `vadooai_generate_video` and feed it a simple prompt. The agent handles the asynchronous job, letting you continue building out other parts of your workflow. You can then use `vadooai_check_generation_status` to poll for results. This reliable check ensures your production pipeline doesn't hang on a single video generation step.

Process videos into short, shareable clips.

Need bite-sized content? Use `vadooai_create_clips` to take an existing video file and break it down. This tool lets your agent automatically generate multiple assets for social media. The process is clean. It takes the main source video as input and returns a list of structured clip metadata, perfect for batch processing.

Create podcasts or captions on demand.

`vadooai_generate_podcast` lets you turn raw scripts into fully produced AI audio. It’s great for rapidly scaling educational content without needing a studio. If the video is already done, `vadooai_generate_caption` pulls out accurate captions. This simple tool saves time and makes your videos accessible across platforms.

Setup guide

Set up Vadoo AI MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Vadoo AI tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Vadoo AI tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Vadoo AI tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Vadoo AI Agent",
            instructions="You have access to Vadoo AI tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

Why Choose Vinkius

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Vadoo AI MCP in OpenAI Agents SDK

You call `vadooai_check_generation_status` with the job ID. This lets your agent know exactly when the video is ready to process further, preventing redundant API calls.
The `vadooai_generate_podcast` tool accepts text prompts or script inputs. It outputs a job ID and subsequent status updates, making the entire process traceable within your agent's execution flow.
Absolutely. After running `vadooai_generate_video`, you can immediately run `vadooai_create_clips` on the resulting content. This chain of tools lets your agent build out a whole campaign from one prompt.
This server touches video and text generation data. Your agents control the inputs, but you're responsible for managing that raw content before passing it to the MCP Server.
It’s built for it. You can chain tools like generating a video, then checking its status, and finally creating clips from the finished asset, all within one coordinated agent workflow.

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