How to Use the GameScorekeeper MCP in Google ADK

Q: How do I connect GameScorekeeper to Google ADK?

Install google-adk and configure a StreamableHttpServerParameters object with your URL. Wrap that in an McpToolset and pass it to your LlmAgent tools list.

Q: Can Google ADK restrict which GameScorekeeper tools are exposed?

Yes. You can use the toolnames filter when setting up the toolset. This lets you expose getfixturedetails while hiding listcompetitions if you want to limit the agent's scope.

Feed live esports and football stats into Google ADK to power your Gemini-backed sports analytics agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect GameScorekeeper MCP to Google ADK

Create your Vinkius account to connect GameScorekeeper 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.

GDPR Free for Subscribers

Setup GameScorekeeper with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze massive tournaments in Google ADK

GameScorekeeper exposes tournament hierarchies to your Gemini agent through `list_competitions` and `list_competition_stages`. You load the toolset into your Python environment, and the model reads the entire tournament structure into its context window. Gemini's massive token limit changes how you handle this data. Instead of chunking bracket data, you dump the entire response from `get_competition_details` into the prompt. The agent cross-references the tournament rules with your historical BigQuery tables in a single pass.

Track live matches and lineups

The `get_fixture_details` and `get_fixture_lineup` tools pull real-time match states. Your Google ADK agent fetches the current score, the active roster, and the minute-by-minute events directly from the API. You can pipe this output straight into Vertex AI pipelines. The agent grabs the live snapshot, formats it, and triggers a downstream process to update your cloud dashboards without manual intervention.

Profile players and team form via this MCP Server

When your application needs deep dives on specific rosters, `get_player_details` and `get_team_details` deliver the core stats. The agent retrieves the team logos, player histories, and recent win-loss records. You pass the `McpToolset` to your `LlmAgent` and let it decide when to fetch the data. If a user asks about a specific player's recent performance, the agent hits `get_player_stats` and `get_team_form` to build a complete analytical profile.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GameScorekeeper. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect GameScorekeeper now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GameScorekeeper MCP in Google ADK

Install `google-adk` and configure a `StreamableHttpServerParameters` object with your URL. Wrap that in an `McpToolset` and pass it to your `LlmAgent` tools list.

Yes. You can use the `tool_names` filter when setting up the toolset. This lets you expose `get_fixture_details` while hiding `list_competitions` if you want to limit the agent's scope.

Gemini models easily absorb massive JSON payloads. You can pull a full roster with `get_fixture_lineup` and the model will process the entire array without needing an external vector database.

Absolutely. Your agent can pull live match data via the MCP Server and immediately write a SQL query to compare those stats against your historical BigQuery records.

The server processes purely external sports information like player performance metrics and match outcomes. It requires zero access to your Google Cloud credentials, IAM roles, or private customer data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript