API-Football MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect API-Football through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to API-Football "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in API-Football?"
)
print(result.data)
asyncio.run(main())
* 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 API-Football MCP Server
Empower your AI agent to orchestrate your football tracking and fan engagement with API-Football, the premier API for global football data. By connecting API-Football to your agent, you transform complex fixture auditing, live score monitoring, and player statistical analysis into a natural conversation. Your agent can instantly retrieve real-time results for over 1,000 leagues, access detailed standings, and even perform head-to-head comparisons between teams without you ever needing to navigate multiple sports apps or websites. Whether you are conducting a seasonal performance audit or coordinating real-time match alerts, your agent acts as a real-time sports data coordinator, providing accurate results from a single, authorized source.
Pydantic AI validates every API-Football tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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.
What you can do
- Live Orchestration — Retrieve real-time scores and match status for thousands of games across the globe.
- Standings Auditing — Access comprehensive league tables and team rankings for major global competitions.
- Fixture Management — Retrieve scheduled matches and fixture lists for specific dates and leagues.
- Deep Metadata — Access detailed profile data for teams and players, including performance stats.
- H2H Comparison — Perform historical head-to-head audits between any two teams to gauge competitive history.
The API-Football MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect API-Football to Pydantic AI via MCP
Follow these steps to integrate the API-Football MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from API-Football with type-safe schemas
Why Use Pydantic AI with the API-Football MCP Server
Pydantic AI provides unique advantages when paired with API-Football through the Model Context Protocol.
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 API-Football integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your API-Football connection logic from agent behavior for testable, maintainable code
API-Football + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the API-Football MCP Server delivers measurable value.
Type-safe data pipelines: query API-Football with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple API-Football tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query API-Football and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock API-Football responses and write comprehensive agent tests
API-Football MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect API-Football to Pydantic AI via MCP:
get_fixtures
List match fixtures
get_league_topscorers
Get top scorers
get_player_info
Get player statistics
get_standings
Get league standings
get_team_info
Get team details
list_leagues
List football leagues
list_live_fixtures
Get live matches
search_football_teams
Search for teams
Example Prompts for API-Football in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with API-Football immediately.
"Show me all live football matches in the Premier League (ID: 39)."
"Get the latest standings for the Brasileirão Serie A (ID: 71) season 2023."
"What is the H2H history between Flamengo (ID: 127) and Fluminense (ID: 124)?"
Troubleshooting API-Football MCP Server with Pydantic AI
Common issues when connecting API-Football to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAPI-Football + Pydantic AI FAQ
Common questions about integrating API-Football MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect API-Football with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect API-Football to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.