How to integrate Api sports MCP with Autogen

This guide walks you through connecting Api sports to AutoGen 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 AutoGen 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.

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Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.

67 Tools

Introduction

This guide walks you through connecting Api sports to AutoGen 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 AutoGen 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

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Api sports
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Api sports tools
  • Run a live chat loop where you ask the agent to perform Api sports operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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.

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:

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

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Api sports account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

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.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Api sports via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Api sports connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Api sports session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["api_sports"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Api sports tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Api sports assistant agent with MCP tools
    agent = AssistantAgent(
        name="api_sports_assistant",
        description="An AI assistant that helps with Api sports operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Api sports tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Api sports related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Api sports tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Api sports session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["api_sports"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Api sports assistant agent with MCP tools
        agent = AssistantAgent(
            name="api_sports_assistant",
            description="An AI assistant that helps with Api sports operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Api sports related question or task to the agent.\n")

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Api sports through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Api sports, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Api sports action and event your agent gets out of the box.

Get AFL Games

Tool to retrieve AFL games and matches.

Get AFL Game Player Statistics

Tool to retrieve player statistics from AFL (Australian Football League) game(s).

Get AFL Seasons

Tool to get the list of available seasons for AFL.

Get AFL Standings

Tool to retrieve AFL standings for a league.

Get Baseball Games Head-to-Head

Tool to get head-to-head baseball games between two teams.

Get Basketball Bets

Tool to get all available basketball bet types.

Get Basketball Bookmakers

Tool to get all available basketball bookmakers.

Get basketball statistics

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

Get Formula 1 Circuits

Tool to get the list of available Formula 1 circuits.

Get Coaches

Tool to fetch coaches and their career history.

Get Countries

Tool to fetch available countries for league queries.

Get Fighters Records

Tool to get fighter career statistics.

Get Fixtures

Tool to retrieve football fixtures/matches.

Get fixtures events

Tool to get events (goals, cards, substitutions, VAR, etc.

Get Head-to-Head Fixtures

Tool to get head-to-head fixtures between two teams.

Get Fixture Lineups

Tool to retrieve starting XI and substitutes for a fixture.

Get fixtures players

Tool to get player statistics from a fixture.

Get Fixtures Rounds

Tool to get the rounds for a league or cup.

Get fixture statistics

Tool to get statistics for a fixture.

Get Formula 1 Competitions

Tool to retrieve Formula 1 competitions (Grand Prix races).

Get Formula 1 Races

Tool to retrieve Formula 1 race information for a given season.

Get Formula 1 Starting Grid

Tool to retrieve the starting grid for a Formula 1 race.

Get games events

Tool to get events (goals, penalties, etc.

Get AFL Games Quarters

Tool to retrieve AFL game quarter scores.

Get game statistics by teams

Tool to get team statistics from a game by ID.

Get Injuries

Tool to get injured or suspended players.

Get Leagues

Tool to retrieve leagues and cups.

Get League Seasons

Tool to get the list of available seasons for all leagues.

Get MMA Categories

Tool to fetch the list of all available MMA categories.

Get MMA Fighters

Tool to fetch MMA fighters data.

Get MMA Fights

Tool to retrieve the list of MMA fights according to given parameters.

Get MMA Fight Results

Tool to retrieve results from one or several MMA fights.

Get MMA Fighter Statistics

Tool to get fighter statistics from MMA fights.

Get NBA game statistics

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

Get NFL Standings Conferences

Tool to retrieve the list of available conferences for the NFL to be used in the standings endpoint.

Get Odds

Tool to fetch pre-match odds.

Get Odds Bets

Tool to get all available pre-match bet types.

Get Odds Bookmakers

Tool to list all available pre-match bookmakers.

Get In-Play Odds

Tool to fetch in-play odds for fixtures in progress.

Get Live Odds Bets

Tool to fetch all available bet types for in-play odds.

Get Odds Mapping

Tool to get the list of available fixture IDs for the odds endpoint.

Get Players

Tool to get player statistics.

Get Players Profiles

Tool to get the list of all available players.

Get Players Seasons

Tool to list all available seasons for player statistics.

Get Players Squads

Tool to get player squads.

Get player statistics

Tool to get player statistics for a specific basketball game.

Get Players Teams

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

Get Players Top Assists

Tool to get the 20 best players (top assists) for a league or cup.

Get Players Top Red Cards

Tool to get the 20 players with the most red cards for a league or cup.

Get Players Top Scorers

Tool to get the 20 best players (top scorers) for a league or cup.

Get Players Top Yellow Cards

Tool to get the 20 players with the most yellow cards for a league or cup.

Get Predictions

Tool to get predictions about a fixture.

Get Formula 1 Driver Rankings

Tool to retrieve Formula 1 driver rankings for a season.

Get Fastest Laps Rankings

Tool to get the ranking of the fastest laps for a Formula 1 race.

Get Race Rankings

Tool to retrieve rankings for a specific Formula 1 race.

Get Formula 1 Team Rankings

Tool to retrieve Formula 1 team rankings for a specific season.

Get Sidelined

Tool to get sidelined information (injuries, suspensions, etc.

Get Standings Divisions

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

Get Standings Groups

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

Get Standings Stages

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

Get Teams

Tool to retrieve available teams.

Get Team Seasons

Tool to get the list of seasons available for a team.

Get team statistics

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

Get Timezone

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

Get Transfers

Tool to get all available transfers for players and teams.

Get Trophies

Tool to get trophies for a player or coach.

Get Venues

Tool to retrieve available venues.

FRAMEWORKS

How to build Api sports MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Api sports MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Api sports MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Api sports MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Api sports MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Api sports MCP with Claude Cowork

Codex logo

Codex

Use Api sports MCP with Codex

Cursor logo

Cursor

Use Api sports MCP with Cursor

OpenClaw logo

OpenClaw

Use Api sports MCP with OpenClaw

Hermes logo

Hermes

Use Api sports MCP with Hermes

CLI logo

CLI

Use Api sports MCP with CLI

Google ADK logo

Google ADK

Use Api sports MCP with Google ADK

LangChain logo

LangChain

Use Api sports MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Api sports MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Api sports MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Api sports MCP with LlamaIndex

CrewAI logo

CrewAI

Use Api sports MCP with CrewAI

OpenCode logo

OpenCode

Use Api sports MCP with OpenCode

VS Code logo

VS Code

Use Api sports MCP with VS Code

FAQ

Frequently asked questions

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.

Yes, you can. Autogen 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.

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.

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.

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

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Co-founder, Slashy

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's immensely helped keep new users on the platform.

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Abhi Arya
Co-founder, Opennote

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

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

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

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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.

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