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 Pydantic AI 9 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Vivo Game Open Platform through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Vivo Game Open Platform "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Vivo Game Open Platform?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

Pydantic AI validates every Vivo Game Open Platform tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Vivo Game Open Platform MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Vivo Game Open Platform with type-safe schemas

Why Use Pydantic AI with the Vivo Game Open Platform MCP Server

Pydantic AI provides unique advantages when paired with Vivo Game Open Platform through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Vivo Game Open Platform integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Vivo Game Open Platform connection logic from agent behavior for testable, maintainable code

Vivo Game Open Platform + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Vivo Game Open Platform MCP Server delivers measurable value.

Type-safe data pipelines: query Vivo Game Open Platform with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Vivo Game Open Platform tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Vivo Game Open Platform and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Vivo Game Open Platform responses and write comprehensive agent tests

Vivo Game Open Platform MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Vivo Game Open Platform to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Vivo Game Open Platform to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Vivo Game Open Platform + Pydantic AI FAQ

Common questions about integrating Vivo Game Open Platform MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Vivo Game Open Platform MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.