Pydantic AISDK

Football-Data.org MCP Server

Bring Real Time Scores
to Pydantic AI

Name: Football-Data.org MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

Learn how to connect Football-Data.org to Pydantic AI and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get AreaGet CompetitionGet Competition StandingsGet MatchGet PlayerGet TeamList AreasList Competition MatchesList Competition ScorersList Competition TeamsList CompetitionsList MatchesList Player MatchesList Team Matches

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Claude

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VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Football-Data.org API Token
Start asking about match results, league tables, or player stats in Claude, Cursor, or any MCP client

Who is this for?

Sports Analysts — Quickly pull raw data for match previews, post-match reports, and statistical comparisons.
Developers & Hobbyists — Integrate live sports data into your workflow or build sports-aware AI assistants.
Football Fans — Get instant updates on your favorite team's schedule and standing without searching through websites.

Built-in capabilities (14)

get_area

Get details for a specific area

get_competition

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

get_competition_standings

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

get_match

Get details for a specific match

get_player

Get details for a specific player

get_team

Get details for a specific team

list_areas

List all geographical areas

list_competition_matches

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

list_competition_scorers

List top scorers for a competition

list_competition_teams

List teams in a specific competition

list_competitions

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

list_matches

List matches across competitions

list_player_matches

List matches for a specific player

list_team_matches

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

Why Pydantic AI?

Pydantic AI validates every Football-Data.org tool response against typed schemas, catching data inconsistencies at build time. Connect 14 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Football-Data.org integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your Football-Data.org connection logic from agent behavior for testable, maintainable code

See it in action

Football-Data.org in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Football-Data.org and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Football-Data.org to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Football-Data.org in Pydantic AI

The Football-Data.org 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. All 14 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Football-Data.org details →

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

The Vinkius Advantage

How Vinkius secures
Football-Data.org for Pydantic AI

Every tool call from Pydantic AI to the Football-Data.org MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I see the current league table for a specific competition like the Premier League?

Yes. Use the get_competition_standings tool with the competition code (e.g., 'PL' for Premier League). It will return the full standings including points, goals, and form.

How do I find the top goal scorers for the current Champions League season?

Simply use the list_competition_scorers tool and provide the competition ID or code (e.g., 'CL'). The agent will list the top players and their goal counts.

Is it possible to check the match history or upcoming fixtures for a specific team?

Yes, you can use list_team_matches by providing the Team ID. You can also filter by status (e.g., 'FINISHED' or 'SCHEDULED') to see past or future games.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Football-Data.org MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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