How to Use the UPYUN Developer Platform MCP in OpenAI Agents SDK

Q: How does the UPYUN Developer Platform integrate file listing with OpenAI Agents SDK?

Your agent uses listdirectory to get a list of all contents in an UPYUN directory. This output is automatically typed and passed into subsequent steps, ensuring your workflow only operates on confirmed assets.

Q: What happens when I use the UPYUN Developer Platform with OpenAI Agents SDK regarding data integrity?

The MCP Server handles all file operations. When you call createtextfile, it guarantees that the file is written and stored correctly in UPYUN, providing immediate confirmation to your agent.

Q: Can OpenAI Agents SDK monitor my cloud usage via the UPYUN Developer Platform?

Yes. The getserviceusage tool lets your agent check billing metrics and service capacity for your UPYUN bucket directly, giving you real-time operational visibility.

Q: If I run a script that deletes files via the UPYUN Developer Platform using OpenAI Agents SDK, how is this tracked?

The agent executes the deletefile operation. Since you are running in a production environment with guardrails, every successful or failed deletion attempt is logged and traceable.

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Connect UPYUN Developer Platform MCP to OpenAI Agents SDK

Create your Vinkius account to connect UPYUN Developer Platform 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 UPYUN Developer Platform with OpenAI Agents SDK

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List and Verify Directory Contents via MCP Server

Your agent calls `list_directory` to map out the exact structure of an UPYUN bucket. It returns all files and folders in a specified path, letting your workflow know exactly what assets are available for processing. This capability helps you audit asset locations before calling other functions. You don't just guess; your agent confirms the directory contents first.

Create or Modify Files using UPYUN Developer Platform

When an action requires new data, `create_text_file` lets your agent upload content directly to UPYUN. It handles the file creation and storage in one step. Need to clean up old assets? Use `delete_file` to remove files from a specified location. This gives your production system full control over its deployed cloud resources.

Check Asset Status and Usage Metrics

`get_file_info` provides the metadata for any file, giving you details like creation date or size without having to download the whole thing. This is essential for making smart decisions about asset validity. Beyond specific files, `get_service_usage` gives a clear count of your UPYUN bucket service usage. You can track costs and capacity right within your agent's operational flow.

Setup guide

Set up UPYUN Developer Platform 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 UPYUN Developer Platform tools at runtime.
3

Create your Agent

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

Run the agent

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

Your agent uses `list_directory` to get a list of all contents in an UPYUN directory. This output is automatically typed and passed into subsequent steps, ensuring your workflow only operates on confirmed assets.

The MCP Server handles all file operations. When you call `create_text_file`, it guarantees that the file is written and stored correctly in UPYUN, providing immediate confirmation to your agent.

Yes. The `get_service_usage` tool lets your agent check billing metrics and service capacity for your UPYUN bucket directly, giving you real-time operational visibility.

It accesses file metadata, directory listings, and overall usage metrics. Specifically, it works with structured data about asset existence and service consumption.

The agent executes the `delete_file` operation. Since you are running in a production environment with guardrails, every successful or failed deletion attempt is logged and traceable.

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