How to Use the Heybox MCP in OpenAI Agents SDK

Q: How do I connect Heybox to my OpenAI Agents SDK project?

Install the server via Vinkius and point your MCPServerStreamableHttp config to the provided endpoint. Your agent will auto-discover the available tools on startup.

Plug Heybox data directly into your OpenAI Agents SDK pipeline. Track stats and monitor market prices with production-grade reliability.

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Connect Heybox MCP to OpenAI Agents SDK

Create your Vinkius account to connect Heybox 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 Heybox with OpenAI Agents SDK

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Real-time game data for OpenAI Agents SDK

Your agent pulls live stats and match history without leaving your Python environment. Use `get_user_stats` and `get_match_history` to feed precise player performance metrics into your decision logic. This MCP server handles the heavy lifting by mapping raw API responses to your agent's context. Your code stays clean because the tools are auto-discovered during agent initialization.

Automated market monitoring

Keep your agent updated on fluctuating skin prices. The `get_market_prices` tool provides the exact data your agent needs to trigger alerts or suggest trades based on current trends. Setting this up is straightforward with the `MCPServerStreamableHttp` class. You get full visibility into every tool call via the OpenAI dashboard, keeping your production workflows transparent.

Community insights at scale

Your agent can now scrape and summarize gaming news and community chatter. Use `list_game_news` and `list_community_posts` to keep your users informed about the latest patches or community drama. Safety is built-in. By using the OpenAI Agents SDK, you can apply guardrails to ensure your agent only interacts with Heybox data in ways you explicitly define.

Setup guide

Set up Heybox 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 Heybox tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the server via Vinkius and point your `MCPServerStreamableHttp` config to the provided endpoint. Your agent will auto-discover the available tools on startup.

Yes. It supports asynchronous execution, allowing your agent to query multiple stats or market prices without blocking your main event loop.

You control the toolset by passing specific tool references to your agent constructor. You don't have to expose every single function if your use case is narrow.

Vinkius handles auth via a single endpoint token. Your data stays scoped to your specific agent instance and is never shared across other connections.

We maintain the server logic to match the current API. You just update your agent configuration to pull the latest version.

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