How do I find my API-Football (API-SPORTS) Key?

Log in to the [API-SPORTS Dashboard](https://dashboard.api-football.com/), navigate to the 'API-Key' section, and copy your unique token.

Does the API provide real-time updates?

Yes! The `list_live_fixtures` tool retrieves results from the real-time match engine of API-Football, covering goals, cards, and status updates as they happen.

Can I filter leagues by country?

Yes! Use the `list_leagues` tool and provide the `country` parameter (e.g., 'Brazil', 'England') to see only the competitions available in that specific region.

API-Football MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: API-Football
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to API-Football through Vinkius, pass the Edge URL in the `mcps` parameter and every API-Football tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="API-Football Specialist",
    goal="Help users interact with API-Football effectively",
    backstory=(
        "You are an expert at leveraging API-Football tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in API-Football "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, API-Football becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call API-Football tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the API-Football MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from API-Football

Why Use CrewAI with the API-Football MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with API-Football through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

API-Football + CrewAI Use Cases

Practical scenarios where CrewAI combined with the API-Football MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries API-Football for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries API-Football, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain API-Football tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries API-Football against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

API-Football MCP Tools for CrewAI (8)

These 8 tools become available when you connect API-Football to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting API-Football to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

API-Football + CrewAI FAQ

Common questions about integrating API-Football MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.