How to Use the RAWG Video Games Database MCP in Google ADK

Q: Can I filter which RAWG Video Games Database tools my Google ADK agent uses?

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

Integrate the RAWG Video Games Database with Google ADK to power enterprise agents on Google Cloud infrastructure.

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Connect RAWG Video Games Database MCP to Google ADK

Create your Vinkius account to connect RAWG Video Games Database to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup RAWG Video Games Database with Google ADK

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Deep game discovery for Google ADK

Run `search_video_games` to pull game titles into your agent's context. It works natively within your Google Cloud agent workflows to bridge the gap between user queries and game data. Your agent parses the search results to build dynamic recommendation lists. It handles the request-response cycle while you focus on the business logic.

Pull granular data for Google ADK

Use `get_video_game_details` to retrieve comprehensive specs for a single game ID. The data feeds directly into your Gemini-powered agent for long-context reasoning tasks. This tool provides the raw facts needed to answer complex user questions about game features. It acts as a reliable source of truth for your agent's knowledge base.

Sync hardware lists with an MCP Server

Call `list_video_game_platforms` to fetch the registry of supported gaming systems. Your agent checks this list to verify hardware availability before providing advice. You avoid manual maintenance of platform lists by pulling directly from this MCP Server. It ensures your Google Cloud agents always reference the current hardware ecosystem.

Setup guide

Set up RAWG Video Games Database 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 RAWG Video Games Database 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="RAWG Video Games Database_agent",
    model="gemini-2.0-flash",
    instruction="You have access to RAWG Video Games Database tools via MCP.",
    tools=mcp_tools,
)

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Common questions about RAWG Video Games Database MCP in Google ADK

Initialize the McpToolset with the server URL and include it in your agent's tools list. The framework handles the connection to your Google Cloud environment.

The Gemini models handle the structured tool output well. They can process the large token counts returned by the search and detail endpoints.

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

Vinkius manages authentication through a single endpoint token. Your key remains outside the agent process, keeping the runtime environment secure.

The data exists only in the agent's memory during the transaction. It is never written to persistent storage by the server itself.

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