How to Use the Clash Royale Tactical Intelligence MCP in Google ADK

Q: How does Clash Royale Tactical Intelligence work with Gemini's long context in Google ADK?

Gemini processes entire clan histories from getclanmembers and getriverracehistory in a single prompt. This allows the model to spot inactive members or declining war participation over months of data.

Feed live Clash Royale match data into your Google ADK enterprise pipelines using Gemini's huge context window.

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Connect Clash Royale Tactical Intelligence MCP to Google ADK

Create your Vinkius account to connect Clash Royale Tactical Intelligence 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 Clash Royale Tactical Intelligence with Google ADK

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Direct BigQuery Archiving via Google ADK

This MCP Server exposes `get_battle_log` to stream match histories straight into your Google ADK pipelines. Gemini models ingest thousands of historical matches at once, mapping deck performance metrics directly to your BigQuery tables. You combine this with `get_river_race_history` to build long-term clan performance datasets. The SDK handles the heavy lifting, letting your agent run complex SQL queries against Clash Royale statistics in real time.

Deep Deck Analysis on Google Cloud

The `get_player_profile` tool delivers complete deck lists and player stats straight to your Google ADK agent. Because Gemini supports massive token counts, your agent evaluates every card in the game via `list_all_cards` to find optimal counters. You filter these tools using the SDK's `tool_names` parameter to keep your agent focused. This prevents your model from wasting compute on unrelated data when it should be refining win-rate projections.

Global Clan Scouting and Tournament Tracking

This MCP Server provides `get_global_tournaments` to monitor active competitive events inside your Google ADK environment. Your agent cross-references these tournaments with top players using `get_location_rankings` to map out the global meta. Finding rival clans is straightforward with `search_clans` and `get_clan_details`. The agent writes these profiles directly to Vertex AI, training custom models on real-time competitive trends.

Setup guide

Set up Clash Royale Tactical Intelligence 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 Clash Royale Tactical Intelligence 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="Clash Royale Tactical Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Clash Royale Tactical Intelligence tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Clash Royale Tactical Intelligence MCP in Google ADK

Install the package and initialize McpToolset with the Vinkius HTTP transport URL. Pass this toolset directly to your LlmAgent to let Gemini call MCP tools like get_battle_log instantly.

Yes, you pass a restricted list of tool names to your McpToolset instance. This ensures your agent only accesses get_player_profile and stays away from clan administration tools.

Gemini processes entire clan histories from get_clan_members and get_river_race_history in a single prompt. This allows the model to spot inactive members or declining war participation over months of data.

Yes, the server runs on Vinkius as an HTTP endpoint, which you connect to using Google ADK streamable parameters. This keeps your enterprise agent decoupled from the underlying server hosting.

Every request is executed inside an isolated V8 sandbox on Vinkius, meaning your clan tags and query parameters are never stored. The connection uses zero-trust architecture, discarding session data the moment the HTTP call completes.

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