How to Use the API-Futebol (Brazilian Football) MCP in Google ADK
Feed real-time Brazilian football data directly into your Google ADK pipelines and analyze Brasileirão trends inside BigQuery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect API-Futebol (Brazilian Football) MCP to Google ADK
Create your Vinkius account to connect API-Futebol (Brazilian Football) 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.
Enterprise-Scale Standings Analysis
The `get_championship_standings` tool retrieves live league tables directly into your Gemini agent. This MCP integration lets you feed these complete standings into BigQuery to run predictive models on who wins the Brasileirão. Gemini's million-token context allows your agent to process years of championship history alongside current standings without running out of memory. Deploying this setup lets you build sports analytics pipelines that scale with cloud infrastructure.
Real-time Match Intelligence
The `get_live_matches` tool exposes current in-play data, providing live score updates and match events. Your Google ADK agent pulls this live data and correlates it with historical team stats fetched via `get_team_matches`. Because Google ADK integrates natively with Vertex AI, you can run real-time sentiment analysis on live match events. This helps you track fan engagement or betting odds shifts as goals happen.
Tournament Bracket Forecasting via MCP Server
The `get_cup_brackets` tool maps out every phase of knockout tournaments like the Copa do Brasil. This MCP Server gives your Gemini models a clear picture of potential matchups, allowing them to simulate tournament paths. You configure this toolset using `McpToolset` and pass it to your `LlmAgent`. By restricting the agent's focus to bracket data, you prevent irrelevant tool calls and keep execution costs down.
Set up API-Futebol (Brazilian Football) MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 API-Futebol (Brazilian Football) tools in your ADK agent.
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="API-Futebol (Brazilian Football)_agent",
model="gemini-2.0-flash",
instruction="You have access to API-Futebol (Brazilian Football) tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by API-Futebol. 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 API-Futebol (Brazilian Football) MCP in Google ADK
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