How to Use the BattleMetrics MCP in Google ADK

Q: How do I configure BattleMetrics tools in Google ADK?

You pass the Vinkius HTTP URL to the McpToolset constructor in your Python code. Google ADK then exposes the tools directly to your Gemini model for execution.

Q: Can a Google ADK agent monitor server population history with BattleMetrics?

Yes. The agent calls getserverplayercounthistory to pull historical player counts. You can then feed this data directly into Vertex AI for predictive analysis.

Q: How does Google ADK handle BattleMetrics ban lists via the MCP Server?

Your agent uses listbans to fetch active penalties across your organization. It can then parse the ban reasons and durations to generate automated compliance reports.

Query live game servers and manage player bans inside Google ADK using Gemini's massive context window.

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Connect BattleMetrics MCP to Google ADK

Create your Vinkius account to connect BattleMetrics 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 BattleMetrics with Google ADK

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Run advanced server queries via Google ADK

The `search_servers` tool filters game servers by country, player count, and rank. Your Gemini agent uses this MCP Server to find matches that fit your specific analytical criteria. If you need a broader list, `list_servers` provides basic server details without the heavy filtering overhead. The ADK feeds this raw data into BigQuery for long-term trend tracking.

Analyze player profiles using this MCP Server

The `get_player` tool extracts game-specific metadata, Steam IDs, and total time played. Your enterprise agent parses this profile data to flag high-value players or identify bad actors. To discover new players, `list_players` searches across all tracked game servers. Gemini uses its long context to cross-reference these search results with your existing database.

Map game ecosystems with Google ADK

The `get_game` tool returns the total number of tracked servers, active players, and game-specific metadata. This gives your agent an immediate high-level view of any supported game. You can run `list_games` first to grab the correct game identifiers. This step ensures your agent never queries invalid game codes when filtering servers.

Setup guide

Set up BattleMetrics 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 BattleMetrics 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="BattleMetrics_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BattleMetrics 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 BattleMetrics. 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 BattleMetrics MCP in Google ADK

You pass the Vinkius HTTP URL to the `McpToolset` constructor in your Python code. Google ADK then exposes the tools directly to your Gemini model for execution.

Yes. The agent calls `get_server_player_count_history` to pull historical player counts. You can then feed this data directly into Vertex AI for predictive analysis.

Your agent uses `list_bans` to fetch active penalties across your organization. It can then parse the ban reasons and durations to generate automated compliance reports.

Yes, the ADK lets you pass an optional list of allowed tool names. If you only want the agent reading server counts, you can block the ban management tools entirely.

Every transaction runs within a zero-trust, isolated V8 sandbox on Vinkius. Your player profiles, server IPs, and ban records are processed in memory and never written to persistent storage.

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