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

Use the `validate_login` tool with the user's `uid` and the `access_token` provided by the 4399 SDK. The agent will confirm if the session is legitimate and return the authentication code.

Can I check the status of a specific payment order?

Yes! Use the `query_order` tool with the 4399 order ID. Your agent will retrieve the transaction status, amount, and timestamp from the payment gateway.

Does it support high score submission?

Yes! The `submit_score` tool allows your agent to update the high score for a specific user ID on the configured 4399 leaderboard.

4399 Open Platform MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: 4399 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 4399 Open Platform through 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 4399 Open Platform "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in 4399 Open Platform?"
    )
    print(result.data)

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 4399 Open Platform MCP Server

Connect your AI agents to the 4399 Open Platform (4399开放平台), the leading ecosystem for game distribution in China. This MCP provides 10 tools to automate server-side validation, payment tracking, and community features for H5 and mobile games.

Pydantic AI validates every 4399 Open Platform tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through 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 sessions and access tokens returned by the client-side SDK
Payment Tracking — Query real-time status for recharge orders and transaction details
User Profiling — Retrieve basic player information and registration metadata for specific UIDs
Game Integrity — Use the sensitive words API to filter prohibited content in role names and chat
Social & Competitive — Manage global leaderboards, submit scores, and list user social circles

The 4399 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 4399 Open Platform to Pydantic AI via MCP

Follow these steps to integrate the 4399 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 4399 Open Platform with type-safe schemas

Why Use Pydantic AI with the 4399 Open Platform MCP Server

Pydantic AI provides unique advantages when paired with 4399 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 4399 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 4399 Open Platform connection logic from agent behavior for testable, maintainable code

4399 Open Platform + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the 4399 Open Platform MCP Server delivers measurable value.

Type-safe data pipelines: query 4399 Open Platform with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple 4399 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 4399 Open Platform and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock 4399 Open Platform responses and write comprehensive agent tests

4399 Open Platform MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect 4399 Open Platform to Pydantic AI via MCP:

check_sensitive_words

Filter content for prohibited or sensitive terms

get_game_status

Check current operational status of the game

get_leaderboard

Fetch the top players list

get_server_time

Get the current 4399 server timestamp

get_user_info

Retrieve basic profile for a user

list_friends

List friends for a 4399 user

query_order

Check the status of a payment order

submit_score

Submit a new record to a leaderboard

validate_login

Verify a user login session

Example Prompts for 4399 Open Platform in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with 4399 Open Platform immediately.

"Check the status of 4399 order ID 'order_999888777'."

"Validate login for 4399 user 'uid_123' with token 'tok_abc'."

"Check if the text 'offensive word' is allowed by 4399 policy."

Troubleshooting 4399 Open Platform MCP Server with Pydantic AI

Common issues when connecting 4399 Open Platform to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

4399 Open Platform + Pydantic AI FAQ

Common questions about integrating 4399 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 4399 Open Platform MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.