How to Use the AssemblyAI MCP in OpenAI Agents SDK

Build production-ready audio transcription agents using the OpenAI Agents SDK and this MCP integration.

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Connect AssemblyAI MCP to OpenAI Agents SDK

Create your Vinkius account to connect AssemblyAI 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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Setup AssemblyAI with OpenAI Agents SDK

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Trigger transcripts via OpenAI Agents SDK

The `transcribe_audio` tool feeds media URLs directly into AssemblyAI from your OpenAI agent. You pass an audio link, and the system starts a background job without blocking your main execution thread. Your agent can then use `get_transcript` to poll the result. Because you are using the OpenAI framework, you can apply safety guardrails to ensure the agent only processes approved domains before firing off the transcription request.

Break down massive audio logs

The `get_transcript_paragraphs` and `get_transcript_sentences` tools slice the returned data into manageable chunks. Raw text dumps are useless for long conversations without this segmentation. You can hand these segments off to specialized agents. One agent reads the sentences to extract action items, while another archives the full text, all tracked via the OpenAI dashboard.

Manage the MCP Server job queue

The `list_transcripts` tool lets your agent find stuck or pending audio files in the active queue. Production systems need clean state management to function properly. Once a file is processed and verified, the agent calls `delete_transcript` to wipe the record. This keeps your workspace clean and prevents duplicate processing runs.

Setup guide

Set up AssemblyAI 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

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

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 AssemblyAI tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives AssemblyAI tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AssemblyAI 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="AssemblyAI Agent",
            instructions="You have access to AssemblyAI tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 AssemblyAI. 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 AssemblyAI MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance with your Vinkius endpoint token and pass it to the mcp_servers list in your Agent constructor.

Yes. Once you pass the MCP server to the agent, it automatically maps the transcription tools. Set cacheToolsList=True to speed up initialization on restarts.

You monitor the agent's token usage in the OpenAI dashboard. The actual audio processing minutes are tracked on your AssemblyAI billing page.

Start the job with the transcribe tool, then let the agent do other work. You can write a loop that periodically checks the job status using the get tool.

Media URLs and generated text pass through the V8 Isolate Sandbox. Vinkius drops the environment immediately after the request finishes, meaning your proprietary audio files and transcripts never persist on our infrastructure.

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