How to Use the CaptionHub MCP in OpenAI Agents SDK

Get CaptionHub video localization tools directly into your OpenAI Agents SDK production workflows using this MCP.

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Connect CaptionHub MCP to OpenAI Agents SDK

Create your Vinkius account to connect CaptionHub 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 CaptionHub with OpenAI Agents SDK

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Automate transcription pipelines inside your OpenAI Agents SDK.

The `transcribe_video` tool kicks off automated caption generation directly from your python scripts. Your agent monitors the run, gets updates, and moves the process along without manual hand-holding. By declaring this MCP Server inside your agent configuration, you let your model trigger transcription jobs the second a new video file hits your storage. No custom API glue code required.

Secure project lifecycle control.

You can build a system that handles your entire video library using `list_projects` and `create_project`. The agent checks active work, creates new localized versions, and updates metadata using `update_project`. Because you are deploying this MCP Server with the OpenAI Agents SDK, you can set up strict guardrails. This ensures your agent doesn't accidentally trigger `archive_project` on an active campaign.

Approve and export translations programmatically.

Once the translation is ready, your agent uses `approve_captions` to sign off on specific languages. From there, it calls `export_captions` to grab the final files and push them to your distribution network. This MCP setup lets you build multi-agent teams. One agent handles raw translation checks, while a supervisor agent approves the final output and fetches the download links.

Setup guide

Set up CaptionHub 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 CaptionHub tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the openai-agents package, spin up the streamable HTTP server client with your Vinkius MCP token, and pass it to your agent constructor. The tools register automatically.

Yes, you can write an agent loop that queries pending projects and calls the approval tool for each target language. The SDK handles the execution queue smoothly.

Yes, you should set cache tools to true when initializing the server stream. This cuts down on startup latency during rapid agent runs.

You set up system-level guardrails in your Python code. You can restrict the agent from calling destructive tools like archiving projects.

Your CaptionHub project details, webhook configurations, and caption texts stay secure. Vinkius runs the integration inside an isolated, ephemeral sandbox that never stores your credentials or video content.

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