How to Use the Dailymotion Extended MCP in OpenAI Agents SDK

Q: How do I connect the Dailymotion Extended toolset to OpenAI Agents SDK?

Install the package with pip install openai-agents. Set up the MCP client with your Vinkius endpoint, then pass it to the mcpservers list in your Agent constructor.

Q: Can OpenAI Agents SDK handle video publishing automatically?

Yes, it can. The agent uses getuploadurl to secure a slot, uploads the payload, and then runs createvideo to make it live.

Q: Can I run analytical queries with Dailymotion Extended using OpenAI Agents SDK?

Absolutely. The agent executes reportinggraphql directly to fetch report data, which you can then pass to other specialized agents in your pipeline.

Run production-ready video workflows with OpenAI Agents SDK and Dailymotion video management tools.

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Connect Dailymotion Extended MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dailymotion Extended 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 Dailymotion Extended with OpenAI Agents SDK

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Secure video uploading via OpenAI Agents SDK

Your agents can grab upload endpoints on the fly. When you feed a file to your Python agent, this MCP server runs `get_upload_url` or `get_partner_upload_url` to prep the upload slot. Once the endpoint is ready, the agent fires `create_video` to publish the content. You can trace this entire handshake inside your OpenAI developer dashboard to verify the exact payload before it hits the web.

Automated player curation and metadata edits

Stop manually tweaking embed codes and titles. This MCP server lets your specialized agents call `edit_video` to update descriptions or tags whenever your main pipeline flags a change. If you need a fresh look, the agent spins up a custom embed using `create_player`. You get a clean, functional player configuration without writing boilerplate API calls.

Direct GraphQL reporting and video lookups

Get raw analytics without leaving your terminal. Your agent uses `reporting_graphql` to query partner reports and pull performance metrics directly into your data frame. For quick audits, the agent triggers `list_videos` to check which files are active. It keeps your library organized and lets you spot errors before your users do.

Setup guide

Set up Dailymotion Extended 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 Dailymotion Extended tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Dailymotion Extended MCP in OpenAI Agents SDK

Install the package with `pip install openai-agents`. Set up the MCP client with your Vinkius endpoint, then pass it to the `mcp_servers` list in your Agent constructor.

Yes, it can. The agent uses `get_upload_url` to secure a slot, uploads the payload, and then runs `create_video` to make it live.

The MCP server manages your API credentials on Vinkius. Your Python environment only sees the secure endpoint, so your private tokens never leak into the OpenAI tracing dashboard.

Absolutely. The agent executes `reporting_graphql` directly to fetch report data, which you can then pass to other specialized agents in your pipeline.

All video metadata, player configurations, and partner reports stay isolated within the Vinkius V8 sandbox. The OpenAI Agents SDK communicates with the server via encrypted HTTPS, meaning your internal video catalog is never exposed to public networks.

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