How do I validate a Vivo login token from my backend?

Use the `validate_login` tool with the user's token provided by the Vivo SDK. The agent will connect to the Vivo verification server and return the `openid` if the session is legitimate.

Can I automatically query the status of a specific order?

Yes! Use the `query_order` tool with your CP Order ID. Your agent will retrieve the payment status, amount, and internal transaction reference directly from the Vivo gateway.

How do I report character role information to the platform?

Use the `report_role_info` tool with a JSON string containing the character details (name, level, server). This is essential for compliance and social features within the Vivo ecosystem.

Vivo Game Open Platform MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: Vivo Game Open Platform
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Vivo Game Open Platform through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Vivo Game Open Platform Assistant",
            instructions=(
                "You help users interact with Vivo Game Open Platform. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Vivo Game Open Platform"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Vivo Game Open Platform MCP Server

Connect your AI agents to the Vivo Game Open Platform (vivo 开放平台), the primary ecosystem for game distribution on Vivo mobile devices. This MCP provides 9 tools to automate server-to-server validation, payment tracking, and player data reporting for high-performance mobile and mini-games.

The OpenAI Agents SDK auto-discovers all 9 tools from Vivo Game Open Platform through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Vivo Game Open Platform, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Authentication — Validate user tokens and retrieve unique openid identifiers from the Vivo account service
Payment Orchestration — Query real-time status for payment orders and reconcile transactions programmatically
Game Analytics — Report player progress, high scores, and level data to the Vivo Game Center rankings
Role Management — Update character/role information including names, levels, and server assignments
App Configuration — Fetch current application settings and list active game servers from the developer console

The Vivo Game Open Platform MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Vivo Game Open Platform to OpenAI Agents SDK via MCP

Follow these steps to integrate the Vivo Game Open Platform MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 9 tools from Vivo Game Open Platform

Why Use OpenAI Agents SDK with the Vivo Game Open Platform MCP Server

OpenAI Agents SDK provides unique advantages when paired with Vivo Game Open Platform through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Vivo Game Open Platform + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Vivo Game Open Platform MCP Server delivers measurable value.

Automated workflows: build agents that query Vivo Game Open Platform, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Vivo Game Open Platform, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Vivo Game Open Platform tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Vivo Game Open Platform to resolve tickets, look up records, and update statuses without human intervention

Vivo Game Open Platform MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect Vivo Game Open Platform to OpenAI Agents SDK via MCP:

get_app_config

Retrieve application configuration from Vivo platform

get_server_time

Synchronize with Vivo platform server time

get_user_info

Retrieve basic profile data for a Vivo user

list_game_servers

Query the list of game servers

list_items

Query available virtual items for the app

query_order

Check the status of a specific payment order

report_game_data

Submit player progress and scores to Vivo Game Center

report_role_info

Report character or role information

validate_login

Verify a user login token from Vivo SDK

Example Prompts for Vivo Game Open Platform in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Vivo Game Open Platform immediately.

"Check the status of Vivo order ID 'cp_order_555666'."

"Validate the login token 'tok_vivo_abc' from the client."

"List all active game servers configured in the Vivo console."

Troubleshooting Vivo Game Open Platform MCP Server with OpenAI Agents SDK

Common issues when connecting Vivo Game Open Platform to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Vivo Game Open Platform + OpenAI Agents SDK FAQ

Common questions about integrating Vivo Game Open Platform MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.