How to Use the 3Scribe MCP in OpenAI Agents SDK

Q: How do I start a 3Scribe transcription with my OpenAI Agent?

Your agent calls the createjob tool with a public media URL. The MCP server handles the request to 3Scribe and returns a job ID that your agent can use to track the transcription.

Q: Can my OpenAI Agent check the status of a 3Scribe job?

Yes. The agent uses the getjob tool with the specific Job ID. It will get back the current status and, if completed, the full transcription text.

Q: What happens if I try to delete a 3Scribe job with my OpenAI Agent?

The agent will use the deletejob tool. The OpenAI Agents SDK has guardrails that can prompt for confirmation before running a destructive action, adding a layer of safety before the job is permanently removed.

Q: Is there a way to list all my past transcriptions?

Absolutely. The listjobs tool gives your agent a paginated list of all transcription jobs in your 3Scribe account. You can use this to review your history or find a specific job ID.

Add production-grade transcription to your OpenAI Agents. Get text from audio with tools that have built-in guardrails and full tracing.

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Connect 3Scribe MCP to OpenAI Agents SDK

Create your Vinkius account to connect 3Scribe 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 3Scribe with OpenAI Agents SDK

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Transcribe Media from a URL

Your agent can start a new transcription job using `create_job`. Just give it a public URL to an audio or video file. 3Scribe gets to work, and your agent gets back a Job ID. Then, use that ID with `get_job` to check on the progress. When it's done, the agent receives the full text. The whole process is tracked in your OpenAI dashboard, so you always know what your agent is doing.

List and Delete Jobs

Need to see everything you've transcribed? Your agent can call `list_jobs` to get a complete history from your 3Scribe account. It’s a simple way to keep track of all your tasks. When a job is finished and you don't need the data anymore, your agent can use `delete_job`. This permanently removes the job and its transcription from 3Scribe. It's an irreversible action, so the built-in guardrails of the Agents SDK are perfect for confirming the user's intent first.

Your Transcription MCP Server

Connecting 3Scribe is straightforward. After you `pip install openai-agents`, you just instantiate `MCPServerStreamableHttp` with your Vinkius endpoint. Pass that server instance to your Agent's constructor. That’s it. The agent auto-discovers the `create_job`, `get_job`, and other tools. No manual mapping or extra code. For faster runs, set `cacheToolsList=True` and your agent won't have to fetch the tool list every time it starts.

Setup guide

Set up 3Scribe 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 3Scribe tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives 3Scribe tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate 3Scribe 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="3Scribe Agent",
            instructions="You have access to 3Scribe 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 3Scribe. 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 3Scribe MCP in OpenAI Agents SDK

Your agent calls the `create_job` tool with a public media URL. The MCP server handles the request to 3Scribe and returns a job ID that your agent can use to track the transcription.

Yes. The agent uses the `get_job` tool with the specific Job ID. It will get back the current status and, if completed, the full transcription text.

The agent will use the `delete_job` tool. The OpenAI Agents SDK has guardrails that can prompt for confirmation before running a destructive action, adding a layer of safety before the job is permanently removed.

Absolutely. The `list_jobs` tool gives your agent a paginated list of all transcription jobs in your 3Scribe account. You can use this to review your history or find a specific job ID.

The server only handles the public media URLs you provide and the resulting transcription text. Vinkius secures the connection with an ephemeral, zero-trust sandbox. The OpenAI Agents SDK adds another layer, giving you tracing and guardrails to control exactly what data your agent sends and receives.

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