API-Football MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect API-Football through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="API-Football Assistant",
instructions=(
"You help users interact with API-Football. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from API-Football"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 8 tools from API-Football through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries API-Football, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the API-Football MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from API-Football
Why Use OpenAI Agents SDK with the API-Football MCP Server
OpenAI Agents SDK provides unique advantages when paired with API-Football through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
API-Football + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the API-Football MCP Server delivers measurable value.
Automated workflows: build agents that query API-Football, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries API-Football, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through API-Football tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query API-Football to resolve tickets, look up records, and update statuses without human intervention
API-Football MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect API-Football to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting API-Football to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
API-Football + OpenAI Agents SDK FAQ
Common questions about integrating API-Football MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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.
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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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.