How do I start a new transcription?

Use the `create_job` tool and provide the public URL of your audio or video file. Your agent will initiate the process and provide a Job ID.

Can I check if a transcription is finished?

Yes. Use the `get_job` tool with the Job ID. It will return the current status and, if completed, the transcribed text.

How can I clean up my transcription history?

Use the `delete_job` tool and provide the Job ID. This permanently removes the transcription data from your 3Scribe account.

3Scribe MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes

Name: 3Scribe
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 4 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect 3Scribe through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="3Scribe Assistant",
            instructions=(
                "You help users interact with 3Scribe. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from 3Scribe"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About 3Scribe MCP Server

Unlock the power of spoken word with 3Scribe, your automated partner for high-precision audio and video transcription. By connecting 3Scribe to your AI agent, you eliminate the friction of manual data entry from media files. Your agent can now orchestrate the entire transcription lifecycle—from submitting public URLs to auditing job statuses and retrieving final text—all through simple natural language commands. Whether it’s meeting minutes or video captions, your agent acts as a direct bridge to 3Scribe's powerful recognition engine.

The OpenAI Agents SDK auto-discovers all 4 tools from 3Scribe through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries 3Scribe, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Automated Transcription — Create new transcription jobs by providing a public URL to your audio or video files
Job Monitoring — Track the status of your transcriptions in real-time (Requested, Processing, Completed, Error)
Text Retrieval — Access raw text transcripts or detailed word-level data with timestamps and speaker IDs
Project Management — List all transcription jobs, filter by status, and delete old or unnecessary projects
Language Detection — Specify transcription languages or let the AI auto-detect the spoken language

The 3Scribe MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect 3Scribe to OpenAI Agents SDK via MCP

Follow these steps to integrate the 3Scribe MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 4 tools from 3Scribe

Why Use OpenAI Agents SDK with the 3Scribe MCP Server

OpenAI Agents SDK provides unique advantages when paired with 3Scribe through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

3Scribe + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the 3Scribe MCP Server delivers measurable value.

Automated workflows: build agents that query 3Scribe, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries 3Scribe, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through 3Scribe tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query 3Scribe to resolve tickets, look up records, and update statuses without human intervention

3Scribe MCP Tools for OpenAI Agents SDK (4)

These 4 tools become available when you connect 3Scribe to OpenAI Agents SDK via MCP:

create_job

You must provide a valid public URL. Returns a Job ID useful for tracking progress. Initiate a new audio or video transcription job in 3Scribe via a public media URL

delete_job

This is an irreversible destructive action. Requires the Job ID. Permanently delete a transcription task and its associated data from the 3Scribe account

get_job

You must provide the Job ID. Check the status and retrieve the generated text of a specific 3Scribe transcription job

list_jobs

Retrieve a paginated list of all transcription tasks from the 3Scribe account

Example Prompts for 3Scribe in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with 3Scribe immediately.

"Transcribe the audio from this URL: https://example.com/podcast.mp3"

"What is the status of my transcription job 54321?"

"Delete my old transcription job with ID 99999."

Troubleshooting 3Scribe MCP Server with OpenAI Agents SDK

Common issues when connecting 3Scribe to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

3Scribe + OpenAI Agents SDK FAQ

Common questions about integrating 3Scribe MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.