How to Use the Football-Data.org MCP in AutoGen

Q: How do I hook up Football-Data.org to my AutoGen agents?

Install autogen-extmcp. Use mcpservertools with your endpoint URL and pass the resulting list into your AssistantAgent constructor.

Let your agents debate the stats. Feed live Football-Data.org API metrics into your AutoGen multi-agent MCP workflows.

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Connect Football-Data.org MCP to AutoGen

Create your Vinkius account to connect Football-Data.org 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 Football-Data.org with AutoGen

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AutoGen Agents Debate Match Stats

Calling `get_match` through this MCP Server drops live fixture data straight into your multi-agent chat. One agent analyzes the raw possession stats while another cross-references historical performance. They argue over the tactical shifts, forcing a consensus before outputting a final match report. You do not have to write the parsing logic. The `McpToolAdapter` handles schema conversion automatically, mapping the REST payload into something your agents understand. They just read the JSON and start talking.

Cross-Check League Standings

Firing `get_competition_standings` gives your agents the absolute truth about the current league table. A risk-assessment agent might look at a team's away form, while an offensive-strategy agent focuses on goals scored. They use the same dataset to form competing opinions on upcoming fixtures. If the agents need more context, one of them will trigger `list_competition_teams` to review squad depth. The framework manages the tool execution natively. You watch them pull the data, debate the implications, and finalize a prediction.

Scout Players Collaboratively

Running `list_competition_scorers` identifies the most lethal forwards in a specific tournament. Your AutoGen setup can assign a scouting agent to pull this list, while a financial agent checks if those players fit a hypothetical transfer budget. The system coordinates the API calls and the subsequent argument. When they zero in on a target, they execute `get_player` to grab exact birthdates, nationalities, and current contracts. The multi-agent debate ensures no single hallucination ruins the scouting report. Hard data anchors every conversation.

Setup guide

Set up Football-Data.org 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 Football-Data.org 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="Football-Data.org_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Football-Data.org 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="Football-Data.org_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Football-Data.org 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 Football-Data.org. 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 Football-Data.org MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with your endpoint URL and pass the resulting list into your `AssistantAgent` constructor.

Yes. You provide the tool list to any agent that needs data access. They will call the API independently during their conversation turns.

You should restrict the maximum turns in your conversation loop. Otherwise, two agents debating a fixture might spam `list_matches` until they hit a 429 error.

The framework handles the tool calls locally. You just need a valid token for the upstream REST API.

The MCP server operates ephemerally. It fetches public competition standings and match events, pipes them into your local agent chat, and terminates the connection without logging your API token.

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