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How to Use the AudioStack MCP in OpenAI Agents SDK

Build production-grade audio pipelines inside your OpenAI Agents SDK projects.

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OpenAI Agents SDK

Connect AudioStack MCP to OpenAI Agents SDK

Create your Vinkius account to connect AudioStack 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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Automate audio mixing with OpenAI Agents SDK

Trigger `create_mix` to handle mastering without leaving your Python environment. The agent executes these tasks while you monitor the output directly in your dashboard. Your production agent system handles the heavy lifting of audio production. It relies on `create_audioform` to generate complete assets while maintaining strict safety constraints.

Voice selection for OpenAI Agents SDK

Run `list_voices` to see available talent before generating speech. You get precise control over gender and language filters to match your project requirements. Use `get_voice_details` to verify specific speaker attributes. This ensures your agent picks the right voice for the job before calling `text_to_speech`.

Track usage within OpenAI Agents SDK

Call `get_usage_analytics` to pull real-time consumption data into your agent logs. This keeps your deployment costs visible at every step of the process. Inventory your generated assets with `list_media_files`. It gives you a clear view of every file created by the MCP server during your agent execution.

Setup guide

Set up AudioStack 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 AudioStack tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives AudioStack 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 AudioStack 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="AudioStack Agent",
            instructions="You have access to AudioStack 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 AudioStack. 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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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

One

place for every integration

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

Common questions about AudioStack MCP in OpenAI Agents SDK

Install the required packages and define the MCPServerStreamableHttp endpoint. Your agent auto-discovers every tool, allowing for immediate execution of audio tasks.
Yes, use the `create_story` tool to generate complex audio narratives. The OpenAI Agents SDK manages the flow of data, ensuring your story generation stays on track.
Yes, all tool calls are fully traceable through the OpenAI dashboard. You can inspect exactly how your agent triggers every audio generation step.
The server returns a clear error status that your agent can handle. You should check the output of `get_audioform` to verify the state of your production.
Your audio assets and usage logs remain strictly within your designated account. The connection uses an endpoint token to ensure only your agent can access your production files.

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