How to Use the Cloudflare Stream MCP in OpenAI Agents SDK

Q: How do I secure Cloudflare Stream video URLs within OpenAI Agents SDK?

You use createsigningkey to generate tokens that protect your content. Your agent manages these keys, ensuring only authorized viewers access your private videos.

Q: Can OpenAI Agents SDK automate Cloudflare Stream captioning?

Yes, your agent calls generatecaption to create text tracks automatically. It then verifies the output using listcaptions to confirm the file is ready for your users.

Q: How does the agent handle storage limits in Cloudflare Stream?

The agent calls getstorageusage periodically to monitor your account statistics. It triggers alerts if your storage exceeds predefined thresholds.

Manage your video library and live streams directly inside your OpenAI Agents SDK production environment.

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Connect Cloudflare Stream MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cloudflare Stream 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 Cloudflare Stream with OpenAI Agents SDK

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Automate video uploads in OpenAI Agents SDK

Stop manual handling of video files. Your agent uses `initiate_upload` to start the TUS protocol process for incoming assets without leaving the Python environment. Once the upload starts, the agent tracks the file status using `get_video`. This keeps your production pipeline moving without context switching.

Configure live inputs for OpenAI Agents SDK

Set up your broadcast infrastructure by calling `create_live_input` through your agent. You can define metadata and recording settings immediately upon creation. When the broadcast ends, the agent cleans up via `delete_live_input`. This keeps your Cloudflare Stream account tidy and prevents orphaned live configurations.

Manage assets through OpenAI Agents SDK

Your agent handles video lifecycle events by calling `delete_video` or `edit_video`. It ensures your library metadata stays current based on your internal logic. It also uses `list_videos` to query your library status. This gives your agent full visibility into your video catalog for automated reporting.

Setup guide

Set up Cloudflare Stream 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 Cloudflare Stream tools at runtime.
3

Create your Agent

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

Run the agent

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

You use `create_signing_key` to generate tokens that protect your content. Your agent manages these keys, ensuring only authorized viewers access your private videos.

Yes, your agent calls `generate_caption` to create text tracks automatically. It then verifies the output using `list_captions` to confirm the file is ready for your users.

Yes, the MCP server is built for async execution. Your agent handles long-running tasks like `create_mp4_download` while waiting for the server to confirm completion.

The agent calls `get_storage_usage` periodically to monitor your account statistics. It triggers alerts if your storage exceeds predefined thresholds.

The server transmits video titles and status flags to your agent. These are raw strings and integers, never sensitive user credentials or personally identifiable information.

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