How to Use the Leiting Games MCP in Google ADK

Q: Can I filter which Leiting Games tools the Google ADK agent uses?

Yes. Use the toolnames filter in your agent configuration. This restricts the agent to only the specific operations you want it to perform.

Connect Leiting Games to your enterprise data infrastructure using the Google ADK for long-context reasoning.

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Connect Leiting Games MCP to Google ADK

Create your Vinkius account to connect Leiting Games 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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Setup Leiting Games with Google ADK

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Enterprise game operations via Google ADK

Your agent acts as a direct interface for your publishing operations. It uses `list_games` to index your catalog and `get_game_status` to report on current progress. Because the Google ADK handles long-context inputs, your agent can reason across years of historical publishing data. It makes decisions based on the full scope of your account.

Real-time compliance checks for Google ADK

Regulatory compliance is a moving target. Your agent runs `get_compliance_status` to verify your standing against current platform rules. If the agent finds issues, it pulls details from `get_audit_logs`. This keeps your operations within bounds without requiring constant human oversight.

Data-driven partner insights in Google ADK

Your agent aggregates partner performance using `get_partner_stats` and `get_marketing_data`. It correlates this info with your active `list_collaborations`. This gives you a clear picture of developer health. You get actionable insights directly in your agent's reasoning loop.

Setup guide

Set up Leiting Games 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

Install Google ADK

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

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

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 Leiting Games 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="Leiting Games_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Leiting Games tools via MCP.",
    tools=mcp_tools,
)

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

The server exposes its tools via a standard HTTP transport. The Google ADK client maps these tools to agent functions for direct execution.

Yes. Use the tool_names filter in your agent configuration. This restricts the agent to only the specific operations you want it to perform.

The server runs in an ephemeral sandbox. Your data is processed in memory and never persisted between sessions, keeping your audit logs private.

They work perfectly. The tools return structured JSON that feeds directly into the model's context, allowing for deep analysis of large datasets.

It accesses your game submission records, marketing performance metrics, and developer profiles. All data access is scoped to your specific API token.

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