How to Use the Football-Data.org MCP in Google ADK

Q: How do I install the Football-Data.org MCP for Google ADK?

Run pip install google-adk. Initialize an McpToolset using StreamableHttpServerParameters with your endpoint URL. Pass the toolset directly to your LlmAgent configuration.

Q: Can Google ADK filter the tools exposed by Football-Data.org?

You restrict access using the toolnames parameter in the toolset setup. If your agent only needs getmatch, you block it from calling the other thirteen endpoints.

Q: How does Football-Data.org handle large data pulls in Google ADK?

When you call listcompetitionmatches for a full season, the tool returns a massive JSON array. Gemini's 1M+ token context window processes the entire response without truncation.

Q: Do these tools support specific matchday filtering?

The listcompetitionmatches tool accepts filters for season, status, stage, group, and matchday. Your agent requests exactly the slice of the calendar you care about.

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Connect Football-Data.org MCP to Google ADK

Create your Vinkius account to connect Football-Data.org 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 Football-Data.org with Google ADK

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BigQuery Integration via MCP Server

The `get_competition_standings` tool grabs league tables and feeds them straight into your Gemini agent. From there, your Google ADK setup can pipe that raw JSON directly into BigQuery for long-term storage. You avoid writing custom ETL scripts for sports data. When you need historical context, `list_competition_matches` pulls entire seasons of data. Gemini's massive context window absorbs the whole payload. Your agent cross-references current standings with historical results in memory before writing the final analysis to Vertex AI.

Real-Time Global Fixture Tracking

Your agent uses `list_matches` and `get_match` to monitor live fixtures across the globe. You filter by date ranges or specific competitions. The MCP connection handles the API requests while your agent focuses on parsing the results. Need to map out regional tournaments? The `list_areas` and `get_area` tools define the geographical boundaries of every competition. Your agent pulls this structural data once, caches it, and uses it to categorize live matches by continent or country.

Granular Player and Team Profiling

The `list_competition_scorers` tool identifies the top performers in any league. Your agent takes those IDs and runs them through `get_player` to build deep statistical profiles. It happens in seconds. Team analysis relies on `get_team` and `list_team_matches`. You filter the results by venue to see how a squad performs away from home. The agent aggregates this data and generates scouting reports without you having to scrape a single website.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Football-Data.org. 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 Football-Data.org MCP in Google ADK

Run `pip install google-adk`. Initialize an `McpToolset` using `StreamableHttpServerParameters` with your endpoint URL. Pass the toolset directly to your `LlmAgent` configuration.

You restrict access using the `tool_names` parameter in the toolset setup. If your agent only needs `get_match`, you block it from calling the other thirteen endpoints.

When you call `list_competition_matches` for a full season, the tool returns a massive JSON array. Gemini's 1M+ token context window processes the entire response without truncation.

The `list_competition_matches` tool accepts filters for season, status, stage, group, and matchday. Your agent requests exactly the slice of the calendar you care about.

The server only handles external sports data like player IDs and team rosters. It never interacts with your Google Cloud IAM roles or internal datasets. The HTTP transport layer isolates the external API calls from your core infrastructure.

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