How to Use the HowLongToBeat MCP in Google ADK

Q: How do I set up HowLongToBeat inside google-adk?

You initialize McpToolset with the HTTP endpoint of the server. Then, pass this toolset directly to your LlmAgent constructor so Gemini can query playtimes.

Q: Can I restrict the agent from calling this tool unnecessarily?

Yes. You can use the toolnames parameter in the ADK toolset to control exactly when and where the playtime search tool is exposed to your agent.

Feed real-time game completion hours to your Gemini models via the Google ADK toolset.

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Connect HowLongToBeat MCP to Google ADK

Create your Vinkius account to connect HowLongToBeat 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 HowLongToBeat with Google ADK

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Inject game hours into Gemini long-context runs

The `search_game_times` tool lets your Gemini models query exact completion playtimes during deep reasoning tasks. Instead of guessing how long a title takes, your agent fetches live data to build accurate gaming schedules. Because Google ADK excels at long-context reasoning, you can feed game data for hundreds of titles into a single prompt. The agent uses this MCP tool to pull the numbers and then runs complex analysis over the entire dataset.

Expose the HowLongToBeat MCP Server to BigQuery

The `search_game_times` tool connects your database workflows directly to active playtimes. You can write an ADK agent that reads a list of game titles from BigQuery, queries the server, and writes back the average completion hours. This removes the need for custom scraping scripts or manual data entry. Your agent handles the pipeline using Google Cloud infrastructure, keeping your game catalog up to date automatically.

Limit tool exposure for specialized gaming agents

The `search_game_times` tool can be isolated using the ADK's native `tool_names` filter. This ensures your gaming agent only accesses playtime data and nothing else, reducing token usage and keeping agent focus sharp. You initialize the toolset with the server's HTTP endpoint. The ADK handles the transport layer, letting Gemini invoke the playtime search whenever a user asks about game length.

Setup guide

Set up HowLongToBeat 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 HowLongToBeat 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="HowLongToBeat_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HowLongToBeat tools via MCP.",
    tools=mcp_tools,
)

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Common questions about HowLongToBeat MCP in Google ADK

You initialize `McpToolset` with the HTTP endpoint of the server. Then, pass this toolset directly to your `LlmAgent` constructor so Gemini can query playtimes.

Yes. Gemini uses its long-context window to make multiple sequential calls to the MCP Server, compiling playtime statistics for an entire catalog in one run.

Yes, you can run the server locally using the Stdio transport or connect to a hosted HTTP endpoint. The ADK handles both connection methods natively.

Yes. You can use the `tool_names` parameter in the ADK toolset to control exactly when and where the playtime search tool is exposed to your agent.

Yes. Only the specific video game titles you query are sent to the search endpoint. The server operates in an ephemeral, zero-trust sandbox that destroys all session data the moment your query finishes executing.

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