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How to Use the 4399 Open Platform MCP in Google ADK

Give your Google ADK agents direct access to leaderboards, payments, and game state via the 4399 Open Platform MCP Server.

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Google ADK

Connect 4399 Open Platform MCP to Google ADK

Create your Vinkius account to connect 4399 Open Platform to Google ADK 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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Sync 4399 Open Platform orders to GCP

Your Gemini agent uses `query_order` to check if a player actually paid for that premium item. The system can then take that payment status and pipe it straight into BigQuery for your analytics team. Google's massive context window changes how you handle this data. You can pull thousands of transactions and ask the agent to find patterns. Just pass the `McpToolset` to your `LlmAgent` and let Gemini do the math.

Update leaderboards via MCP Server

Executing `submit_score` pushes new records directly to the 4399 backend without writing custom API wrappers. If a player wants to know who is winning, `get_leaderboard` fetches the current top players list. Social graphs load just as easily. The `list_friends` tool grabs the player's network, and `get_user_info` fills in the profile details. You restrict which tools Gemini sees using the `tool_names` filter in your setup.

Filter chat and validate sessions

Running `check_sensitive_words` catches bad behavior before it hits your Vertex AI logs. You tie this together with `validate_login` to ensure the person spamming chat is actually authenticated. Timing issues also ruin multiplayer matches. The `get_server_time` tool syncs your agent's clock with the 4399 infrastructure. Checking `get_game_status` lets the agent warn players if the servers are going down for maintenance.

Setup guide

Set up 4399 Open Platform MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with 4399 Open Platform tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="4399 Open Platform_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 4399 Open Platform tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 4399 Open Platform. 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 4399 Open Platform MCP in Google ADK

Initialize a `StreamableHttpServerParameters` object with your Vinkius URL. Wrap that in an `McpToolset` and hand it to your `LlmAgent`. The tools appear in Gemini's context immediately.
You control exactly what the model sees. Use the `tool_names` array when setting up the toolset to expose only specific functions. Hiding `submit_score` prevents accidental leaderboard updates while testing.
It works flawlessly with any Gemini model supported by the framework. The massive context window means you can feed the results of `get_leaderboard` into long-term memory.
The agent calls `get_game_status` when a user reports connection issues. It reads the operational state and replies based on the exact downtime window. No manual API polling required.
Every `query_order` request executes within a zero-trust environment. We destroy the execution context the millisecond the payment status returns. Your transaction IDs never persist on our infrastructure.

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