How to Use the API-Football MCP in Google ADK

Q: Can I restrict which API-Football tools the Google ADK agent can access?

Yes. Use the toolnames filter when initializing your McpToolset to expose only the specific tools your agent needs, like getstandings or getteaminfo.

Connect API-Football to your Google ADK pipelines for enterprise-grade sports analytics with Gemini.

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Connect API-Football MCP to Google ADK

Create your Vinkius account to connect API-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.

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Setup API-Football with Google ADK

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Analyze Seasons with Google ADK and API-Football

The API-Football MCP Server feeds entire seasons of match data into Gemini's long-context window. Using `get_fixtures` and `get_team_info`, your agent gathers hundreds of match reports and processes them in a single prompt. This toolset integrates with your Google Cloud setup. You can pull historical sports data, run it through the agent, and pipe the output straight into BigQuery for long-term storage.

Track Live Games via MCP Server

The API-Football MCP Server tracks active matches using `list_live_fixtures` inside your Google ADK agent. Live scores and events are tracked as they happen, allowing you to trigger instant notifications or database updates. You configure this by passing the McpToolset to your LlmAgent. The framework handles the HTTP transport under the hood, making sure your live sports data stream stays active.

Deep Dive into Player Statistics

The API-Football MCP Server evaluates player stats by combining `get_player_info` and `get_league_topscorers`. Your agent can compare current performance metrics against historical league averages. If you only want your agent to access specific data, you can use the tool_names filter. This restricts the agent to specific tools, preventing it from calling unwanted endpoints.

Setup guide

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

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Common questions about API-Football MCP in Google ADK

Install google-adk via pip, define your StreamableHttpServerParameters, and wrap them in an McpToolset. Pass this toolset directly into the tools list of your LlmAgent.

Yes. Use the tool_names filter when initializing your McpToolset to expose only the specific tools your agent needs, like `get_standings` or `get_team_info`.

It does. Because the ADK runs natively in the Google Cloud ecosystem, your agent can write the retrieved match fixtures and league standings directly to your BigQuery datasets.

This server supports both Stdio and HTTP transport protocols. For cloud deployments, the streamable HTTP transport is the recommended approach.

No. The server only routes queries for football player stats, league tables, and match fixtures. All transport calls are processed in a zero-trust, ephemeral sandbox that deletes all execution data immediately after the agent receives the payload.

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