How to Use the API-Football MCP in AutoGen

Let your AutoGen agents debate match outcomes using the API-Football MCP Server.

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Connect API-Football MCP to AutoGen

Create your Vinkius account to connect API-Football to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup API-Football with AutoGen

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Coordinate multi-agent debates with API-Football

Deploy agents that challenge each other using stats from `get_league_topscorers`. One agent can advocate for a striker while another analyzes the team's defensive record. They reach a consensus based on the data provided. Your system handles the negotiation logic while the server supplies the facts.

Validate team stats across AutoGen agents

Use `search_football_teams` to resolve disputes between agents. Each agent verifies its claims against the live data retrieved from the tool. This prevents biased or incorrect conclusions. The agents reach a decision only after checking the source.

Execute live match analysis in AutoGen

Trigger `list_live_fixtures` to feed real-time game info into your agent pool. Different agents can monitor scores and provide updates to the team. Your agents work together to interpret the flow of a match. It is a collaborative process that relies on accurate, current data.

Setup guide

Set up API-Football MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes API-Football tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="API-Football_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent API-Football data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="API-Football_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent API-Football data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by API-Football. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about API-Football MCP in AutoGen

Pass the server tools into the AssistantAgent constructor. The McpToolAdapter will automatically map the API-Football schema for your agents.

They can debate the interpretation of the data, but the MCP Server ensures the underlying statistics are consistent for every agent involved.

It supports both stdio and Streamable HTTP. Use the transport that matches your Vinkius deployment environment.

We use encrypted endpoints for all agent traffic. No raw league data is exposed to third parties during your multi-agent conversations.

Every call is traceable within your agent logs. You see exactly which agent requested which stats and what the server returned.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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