How to Use the AudioStack MCP in OpenAI Agents SDK
Build production-grade audio pipelines inside your OpenAI Agents SDK projects.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up AudioStack MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives AudioStack tools as native definitions — JSON schemas resolve automatically. - 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.
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.
Why Choose Vinkius
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Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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
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