How to Use the NetEase BUFF MCP in OpenAI Agents SDK

Q: Is the NetEase BUFF data fresh when using OpenAI Agents SDK?

The data is as current as the API allows. You can call syncinventory whenever you need to ensure your agent sees the latest state.

Build production-grade trading bots on OpenAI Agents SDK by connecting directly to NetEase BUFF market data.

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Connect NetEase BUFF MCP to OpenAI Agents SDK

Create your Vinkius account to connect NetEase BUFF 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 NetEase BUFF with OpenAI Agents SDK

Ask AI about this MCP

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Perplexity

Automate skin acquisition with OpenAI Agents SDK

Stop manual refreshing. Your agent uses `get_market_items` to scan for specific skins and triggers `create_buy_order` the second a listing hits your target price. Safety guardrails in your SDK handle the logic. The agent checks `get_price_history` before executing, ensuring you aren't overpaying on a volatile dip.

Real-time inventory management for your agent

Keep your agent updated on what you own. It pulls your current holdings using `get_user_inventory` and performs a `sync_inventory` to force a refresh if the Steam cache lags. Tracking your portfolio is automated. The agent monitors `get_transaction_history` to log every win and loss, feeding that data back into your dashboard.

Market trend analysis via MCP Server tools

Your agent reads the market like a pro. It calls `get_sell_orders` and `get_buy_orders` to calculate the current spread on any item you track. This MCP Server provides the raw data your agent needs to decide when to hold or sell. It keeps your logic local to the agent, avoiding third-party black boxes.

Setup guide

Set up NetEase BUFF 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 NetEase BUFF tools at runtime.
3

Create your Agent

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

Run the agent

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

Use the MCPServerStreamableHttp class to point your agent at the Vinkius endpoint. The SDK auto-discovers the tools immediately.

Yes. You can write custom validation logic in your agent to inspect `get_price_history` before allowing a `create_buy_order` call.

It does. Use the async context manager to handle your server connections, ensuring your agent remains responsive during high-volume trading.

The data is as current as the API allows. You can call `sync_inventory` whenever you need to ensure your agent sees the latest state.

Your credentials are never stored by the agent. The server uses an ephemeral token to manage requests, keeping your session data isolated.

Use it with your favorite AI tools

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