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How to Use the Dailymotion MCP in OpenAI Agents SDK

Control video uploads and manage playlists safely in production using the OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Dailymotion MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dailymotion 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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Secure Dailymotion upload pipelines in OpenAI Agents SDK

Your OpenAI agent uses the MCP Server to run `get_upload_url` to request a secure, temporary upload destination directly from Dailymotion before initiating any file transfer. Once the file is uploaded, the agent calls `publish_video` with your chosen title, channel ID, and tags to make the video public. This two-step mechanism prevents raw file exposure to the OpenAI Agents SDK context. The SDK monitors these steps, ensuring your agent never leaks Dailymotion API tokens or misconfigures video files during the upload lifecycle.

Programmatic metadata updates via the MCP Server

The MCP Server tool `update_video` modifies your video titles, descriptions, and tag arrays on Dailymotion based on performance metrics. Your agent evaluates current performance by invoking `get_user` to inspect total view counts and video tallies across your Dailymotion account. This setup lets you run automated optimization loops inside the OpenAI Agents SDK. The SDK executes these Dailymotion metadata changes only after passing them through your custom runtime validation guardrails.

Automated curation and playlist management

This MCP toolset lets `list_playlists` retrieve your existing Dailymotion playlist structures and video counts to help your agent organize content. The agent reads this structure and compares it with public trends found by executing `search_videos` on Dailymotion. You build routing rules in the OpenAI Agents SDK where one agent searches for trending content and hands off the list to a curation agent. The curation agent then uses `get_video` to fetch stream URLs and metadata before updating your Dailymotion playlists.

Setup guide

Set up Dailymotion 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. 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. 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 tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dailymotion. 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 Dailymotion MCP in OpenAI Agents SDK

The SDK executes a secure two-step process. First, it calls `get_upload_url` to get a temporary endpoint, then it uses `publish_video` to register the file. This keeps binary data transfers separate from the LLM text generation loop.
Yes. You enforce boundaries by limiting tool access during agent initialization. The agent can read channel lists via `list_channels` but won't be able to run `delete_video` unless you explicitly expose that tool to its context.
The SDK relies on Vinkius to proxy requests and handle rate limits. When your agent calls `search_videos`, the platform manages the HTTP throttling to prevent your API tokens from getting flagged.
Every tool invocation like `update_video` appears in your OpenAI developer dashboard. You see the exact input parameters the agent generated and the raw JSON response returned by the platform.
Your authentication tokens and private stream URLs returned by `get_video` never touch external logs. Vinkius runs the server in an ephemeral sandbox, isolating your credentials from the LLM provider.

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