How to Use the 4399 Open Platform MCP in OpenAI Agents SDK

Q: How do I connect 4399 Open Platform to OpenAI Agents SDK?

Install the package with pip. Create an MCPServerStreamableHttp object pointing to your Vinkius endpoint. Pass that directly into the mcpservers array when building your agent.

Q: What handles the sensitive word filtering in this MCP server?

The checksensitivewords tool does the heavy lifting. You configure your OpenAI guardrails to trigger this tool on any user-generated text. If the server returns a violation, the agent blocks the message.

Connect your OpenAI Agents SDK to the 4399 Open Platform MCP Server to handle game logins and payments directly from your Python backend.

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Connect 4399 Open Platform MCP to OpenAI Agents SDK

Create your Vinkius account to connect 4399 Open 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 4399 Open Platform with OpenAI Agents SDK

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Validate sessions in your OpenAI Agents SDK

The `validate_login` tool checks the user's session against the 4399 backend before your agent takes any action. You wire this up in your OpenAI dashboard to trace exactly when authentication happens. Passing chat messages through `check_sensitive_words` catches prohibited terms before they hit your database. Guardrails in the OpenAI framework stop the agent from proceeding if the text flags a violation.

Track player payments via MCP Server

Calling `query_order` pulls the exact payment status from 4399 so your agent can provision in-game items. Handoffs let a specialized billing agent handle this specific task while the main agent talks to the player. Setting up the connection takes seconds. You initialize `MCPServerStreamableHttp` with your Vinkius URL and pass it to the Agent constructor. Setting `cacheToolsList=True` keeps your latency low during heavy traffic spikes.

Manage game state and social features

Your agent grabs current standings using `get_leaderboard` or pushes new high scores with `submit_score`. These MCP tools execute automatically when the user asks about their placement. Running `list_friends` grabs the user's social graph, while `get_user_info` fetches basic profiles. The agent reads this context and personalizes the response based on who the player knows.

Setup guide

Set up 4399 Open 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 4399 Open Platform tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives 4399 Open 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 4399 Open 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="4399 Open Platform Agent",
            instructions="You have access to 4399 Open 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 4399 Open Platform MCP in OpenAI Agents SDK

Install the package with pip. Create an `MCPServerStreamableHttp` object pointing to your Vinkius endpoint. Pass that directly into the `mcp_servers` array when building your agent.

Yes, the agent discovers the order tools on startup. It will run `query_order` when a player asks about a missing purchase. You can trace these exact API calls in your OpenAI dashboard.

The `check_sensitive_words` tool does the heavy lifting. You configure your OpenAI guardrails to trigger this tool on any user-generated text. If the server returns a violation, the agent blocks the message.

The framework handles the routing. You can build one agent for `submit_score` and another for `validate_login`. The primary agent routes the player to the right specialist automatically.

We run the V8 Isolate Sandbox to keep your environment completely isolated. When your agent calls `get_user_info`, those profile IDs and friend lists stay inside ephemeral memory. Nothing gets logged or stored on our end after the request dies.

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