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Football-Data.org MCP Server for Google ADKGive Google ADK instant access to 14 tools to Get Area, Get Competition, Get Competition Standings, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Football-Data.org as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Football-Data.org MCP Server for Google ADK is a standout in the Data Analytics category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="football_dataorg_agent",
    instruction=(
        "You help users interact with Football-Data.org "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)
Football-Data.org
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Football-Data.org MCP Server

Connect the Football-Data.org API to your AI agent to retrieve comprehensive football (soccer) data through natural language. Stay updated with live scores, historical results, and deep team analytics.

Google ADK natively supports Football-Data.org as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • League Standings — Fetch real-time tables for the Premier League, La Liga, Bundesliga, Serie A, and more using get_competition_standings.
  • Match Tracking — Query upcoming fixtures or past results for specific competitions or teams with list_competition_matches and list_team_matches.
  • Top Scorers — Identify the leading goal scorers in any supported tournament using list_competition_scorers.
  • Team & Player Insights — Get detailed profiles, squad lists, and individual player performance history via get_team and get_player.
  • Global Coverage — Explore football data across different geographical areas and continents using list_areas.

The Football-Data.org MCP Server exposes 14 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 Football-Data.org tools available for Google ADK

When Google ADK connects to Football-Data.org through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-scores, sports-analytics, api-integration, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get area on Football-Data.org

Get details for a specific area

get

Get competition on Football-Data.org

g., PL for Premier League). Get details for a specific competition

get

Get competition standings on Football-Data.org

Can be filtered by standing type (TOTAL, HOME, AWAY). Get standings (league table) for a competition

get

Get match on Football-Data.org

Get details for a specific match

get

Get player on Football-Data.org

Get details for a specific player

get

Get team on Football-Data.org

Get details for a specific team

list

List areas on Football-Data.org

List all geographical areas

list

List competition matches on Football-Data.org

Can be filtered by season, status, stage, group, date range, or matchday. List matches for a specific competition

list

List competition scorers on Football-Data.org

List top scorers for a competition

list

List competition teams on Football-Data.org

List teams in a specific competition

list

List competitions on Football-Data.org

Can be filtered by specific competition IDs or season. List available competitions

list

List matches on Football-Data.org

List matches across competitions

list

List player matches on Football-Data.org

List matches for a specific player

list

List team matches on Football-Data.org

Can be filtered by status, venue, and date range. List matches for a specific team

Connect Football-Data.org to Google ADK via MCP

Follow these steps to wire Football-Data.org into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 14 tools from Football-Data.org via MCP

Why Use Google ADK with the Football-Data.org MCP Server

Google ADK provides unique advantages when paired with Football-Data.org through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Football-Data.org

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Football-Data.org tools with BigQuery, Vertex AI, and Cloud Functions

Football-Data.org + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Football-Data.org MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Football-Data.org and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Football-Data.org tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Football-Data.org regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Football-Data.org

Example Prompts for Football-Data.org in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Football-Data.org immediately.

01

"Show me the current Premier League standings."

02

"Who are the top scorers in the Champions League right now?"

03

"What are the next 3 matches for Real Madrid?"

Troubleshooting Football-Data.org MCP Server with Google ADK

Common issues when connecting Football-Data.org to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Football-Data.org + Google ADK FAQ

Common questions about integrating Football-Data.org MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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