Api sports with CrewAI

How to integrate Api sports MCP with CrewAI

Trusted by

GET STARTED FOR FREE GET A DEMO

30 min · no commitment · see it on your stack

Introduction Also integrate Api sports with TL;DR What is CrewAI What is the Api sports MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Api sports MCP Agent with another framework Explore Other Toolkits FAQ

Connect Api sports without Auth hassles

We manage OAuth, API Key, token refresh, and scopes, you just build.

Try for Free

Introduction

This guide walks you through connecting Api sports to CrewAI using the Composio tool router. By the end, you'll have a working Api sports agent that can show today's football fixtures for la liga, get head-to-head record for chelsea vs arsenal, list injured players in premier league this week through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Api sports account through Composio's Api sports MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Api sports with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex

TL;DR

Here's what you'll learn:

Get a Composio API key and configure your Api sports connection
Set up CrewAI with an MCP enabled agent
Create a Tool Router session or standalone MCP server for Api sports
Build a conversational loop where your agent can execute Api sports operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

Agent Roles: Define specialized agents with specific goals and backstories
Task Management: Create tasks with clear descriptions and expected outputs
Crew Orchestration: Combine agents and tasks into collaborative workflows
MCP Integration: Connect to external tools through Model Context Protocol

What is the Api sports MCP server, and what's possible with it?

The Api sports MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Api sports account. It provides structured and secure access to rich sports data, so your agent can fetch fixtures, analyze team stats, retrieve player info, and explore historical match data on your behalf.

Live fixture and match retrieval: Instantly access upcoming and past football fixtures, filterable by league, team, date, or season for up-to-date match information.
Detailed match statistics and events: Have your agent pull granular match data, including goals, cards, substitutions, and in-depth statistics like possession, fouls, and passes for any fixture.
Team, coach, and player insights: Effortlessly fetch team rosters, coach histories, and individual player statistics or injury reports, making it easy to analyze team lineups and track player performance over time.
Head-to-head comparisons and historical data: Ask your agent to compare two teams’ direct matchups, review historical data, or examine league rounds, helping you make informed predictions or reports.
Dynamic country and league exploration: Let your agent discover available countries, leagues, and competitions, then drill down by code or search to tailor your sports data queries to specific needs.

Supported Tools & Triggers

Tools

Get AFL GamesTool to retrieve AFL games and matches.

Get AFL Game Player StatisticsTool to retrieve player statistics from AFL (Australian Football League) game(s).

Get AFL SeasonsTool to get the list of available seasons for AFL.

Get AFL StandingsTool to retrieve AFL standings for a league.

Get Baseball Games Head-to-HeadTool to get head-to-head baseball games between two teams.

Get Basketball BetsTool to get all available basketball bet types.

Get Basketball BookmakersTool to get all available basketball bookmakers.

Get basketball statisticsTool to get basketball statistics for a team in a given league and season.

Get Formula 1 CircuitsTool to get the list of available Formula 1 circuits.

Get CoachesTool to fetch coaches and their career history.

Get CountriesTool to fetch available countries for league queries.

Get Fighters RecordsTool to get fighter career statistics.

Get FixturesTool to retrieve football fixtures/matches.

Get fixtures eventsTool to get events (goals, cards, substitutions, VAR, etc.

Get Head-to-Head FixturesTool to get head-to-head fixtures between two teams.

Get Fixture LineupsTool to retrieve starting XI and substitutes for a fixture.

Get fixtures playersTool to get player statistics from a fixture.

Get Fixtures RoundsTool to get the rounds for a league or cup.

Get fixture statisticsTool to get statistics for a fixture.

Get Formula 1 CompetitionsTool to retrieve Formula 1 competitions (Grand Prix races).

Get Formula 1 RacesTool to retrieve Formula 1 race information for a given season.

Get Formula 1 Starting GridTool to retrieve the starting grid for a Formula 1 race.

Get games eventsTool to get events (goals, penalties, etc.

Get AFL Games QuartersTool to retrieve AFL game quarter scores.

Get game statistics by teamsTool to get team statistics from a game by ID.

Get InjuriesTool to get injured or suspended players.

Get LeaguesTool to retrieve leagues and cups.

Get League SeasonsTool to get the list of available seasons for all leagues.

Get MMA CategoriesTool to fetch the list of all available MMA categories.

Get MMA FightersTool to fetch MMA fighters data.

Get MMA FightsTool to retrieve the list of MMA fights according to given parameters.

Get MMA Fight ResultsTool to retrieve results from one or several MMA fights.

Get MMA Fighter StatisticsTool to get fighter statistics from MMA fights.

Get NBA game statisticsTool to get NBA game statistics including player stats for both teams.

Get NFL Standings ConferencesTool to retrieve the list of available conferences for the NFL to be used in the standings endpoint.

Get OddsTool to fetch pre-match odds.

Get Odds BetsTool to get all available pre-match bet types.

Get Odds BookmakersTool to list all available pre-match bookmakers.

Get In-Play OddsTool to fetch in-play odds for fixtures in progress.

Get Live Odds BetsTool to fetch all available bet types for in-play odds.

Get Odds MappingTool to get the list of available fixture IDs for the odds endpoint.

Get PlayersTool to get player statistics.

Get Players ProfilesTool to get the list of all available players.

Get Players SeasonsTool to list all available seasons for player statistics.

Get Players SquadsTool to get player squads.

Get player statisticsTool to get player statistics for a specific basketball game.

Get Players TeamsTool to get the list of teams and seasons in which a player played during his career.

Get Players Top AssistsTool to get the 20 best players (top assists) for a league or cup.

Get Players Top Red CardsTool to get the 20 players with the most red cards for a league or cup.

Get Players Top ScorersTool to get the 20 best players (top scorers) for a league or cup.

Get Players Top Yellow CardsTool to get the 20 players with the most yellow cards for a league or cup.

Get PredictionsTool to get predictions about a fixture.

Get Formula 1 Driver RankingsTool to retrieve Formula 1 driver rankings for a season.

Get Fastest Laps RankingsTool to get the ranking of the fastest laps for a Formula 1 race.

Get Race RankingsTool to retrieve rankings for a specific Formula 1 race.

Get Formula 1 Team RankingsTool to retrieve Formula 1 team rankings for a specific season.

Get SidelinedTool to get sidelined information (injuries, suspensions, etc.

Get Standings DivisionsTool to retrieve the list of available divisions for an NFL competition to be used in the standings endpoint.

Get Standings GroupsTool to retrieve the list of available groups for a league to be used in the standings endpoint.

Get Standings StagesTool to retrieve the list of available stages for a league to be used in the standings endpoint.

Get TeamsTool to retrieve available teams.

Get Team SeasonsTool to get the list of seasons available for a team.

Get team statisticsTool to get detailed statistics of a team for a given league and season.

Get TimezoneTool to fetch the complete list of available timezones for fixture queries.

Get TransfersTool to get all available transfers for players and teams.

Get TrophiesTool to get trophies for a player or coach.

Get VenuesTool to retrieve available venues.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account and API key
A Api sports connection authorized in Composio
An OpenAI API key for the CrewAI LLM
Basic familiarity with Python

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
Keep the API key safe.

Composio API Key

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio crewai crewai-tools[mcp] python-dotenv

What's happening:

composio connects your agent to Api sports via MCP
crewai provides Agent, Task, Crew, and LLM primitives
crewai-tools[mcp] includes MCP helpers
python-dotenv loads environment variables from .env

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates with Composio
USER_ID scopes the session to your account
OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python

import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

What's happening:

CrewAI classes define agents and tasks, and run the workflow
MCPServerHTTP connects the agent to an MCP endpoint
Composio will give you a short lived Api sports MCP URL

Create a Composio Tool Router session for Api sports

python

composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["api_sports"])

url = session.mcp.url

What's happening:

You create a Api sports only session through Composio
Composio returns an MCP HTTP URL that exposes Api sports tools

Initialize the MCP Server

python

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )

What's Happening:

Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.

Create a CLI Chatloop and define the Crew

python

print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")

What's Happening:

Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Api sports and CrewAI:

python

from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["api_sports"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Api sports through Composio's Tool Router. The agent can perform Api sports operations through natural language commands.

Next steps:

Add role-specific instructions to customize agent behavior
Plug in more toolkits for multi-app workflows
Chain tasks for complex multi-step operations

How to build Api sports MCP Agent with another framework

ChatGPT

Use Api sports MCP with ChatGPT

OpenAI Agents SDK

Use Api sports MCP with OpenAI Agents SDK

Claude Agent SDK

Use Api sports MCP with Claude Agent SDK

Claude Code

Use Api sports MCP with Claude Code

Claude Cowork

Use Api sports MCP with Claude Cowork

Codex

Use Api sports MCP with Codex

Cursor

Use Api sports MCP with Cursor

OpenClaw

Use Api sports MCP with OpenClaw

Hermes

Use Api sports MCP with Hermes

CLI

Use Api sports MCP with CLI

Google ADK

Use Api sports MCP with Google ADK

LangChain

Use Api sports MCP with LangChain

Vercel AI SDK

Use Api sports MCP with Vercel AI SDK

Mastra AI

Use Api sports MCP with Mastra AI

LlamaIndex

Use Api sports MCP with LlamaIndex

OpenCode

Use Api sports MCP with OpenCode

VS Code

Use Api sports MCP with VS Code

Explore Other Toolkits

Excel

Oauth2S2s Oauth2

Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.

21risk

Api Key

21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.

Abstract

Api Key

Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.

TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Api sports MCP?

With a standalone Api sports MCP server, the agents and LLMs can only access a fixed set of Api sports tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Api sports and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Api sports tools.

Can I manage the permissions and scopes for Api sports while using Tool Router?

Yes, absolutely. You can configure which Api sports scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Api sports data and credentials are handled as safely as possible.

Used by agents from

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

How to integrate Api sports MCP with CrewAI

Table of Contents

Connect Api sports without Auth hassles

Introduction

Also integrate Api sports with

TL;DR

What is CrewAI?

What is the Api sports MCP server, and what's possible with it?

Supported Tools & Triggers

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Composio Tool Router session for Api sports

Initialize the MCP Server

Create a CLI Chatloop and define the Crew

Complete Code

Conclusion

How to build Api sports MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

OpenCode

VS Code

Explore Other Toolkits

Excel

21risk

Abstract

FAQ

What are the differences in Tool Router MCP and Api sports MCP?

Can I use Tool Router MCP with CrewAI?

Can I manage the permissions and scopes for Api sports while using Tool Router?

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability