How to Use the API-Futebol (Brazilian Football) MCP in AutoGen
Let AutoGen agents debate Brazilian league standings and match predictions using live, verified football data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect API-Futebol (Brazilian Football) MCP to AutoGen
Create your Vinkius account to connect API-Futebol (Brazilian 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.
Multi-agent debate on Brazilian football matches using MCP Server
The API-Futebol (Brazilian Football) MCP Server enables your AutoGen agents to argue match outcomes using tools like `get_team_matches` and `get_championship_standings`. A sports analyst agent calls `get_team_matches` to check a team's home record, while a statistical agent uses `get_championship_standings` to counter with league placement. This multi-agent setup ensures that predictions are debated using actual Brasileirão data instead of simple heuristics. The agents use the tool outputs to reach a consensus on upcoming Brasileirão fixtures before writing their final report.
Live match monitoring with specialized agents
This MCP Server exposes real-time data through `get_live_matches` and `get_match_details` to your AutoGen group chat. In your AutoGen group chat, a monitoring agent uses `get_live_matches` to detect active games and alerts a commentator agent when a goal is scored. The commentator AutoGen agent then uses `get_match_details` to analyze the event and post updates. This division of labor keeps your terminal clean and prevents a single agent from hitting API rate limits with redundant requests.
Automated cup bracket and scorer tracking
The server provides tournament tracking through `get_cup_brackets` and `list_top_scorers` directly to your AutoGen workflow. Your AutoGen agents coordinate to track cup progression, with one agent analyzing brackets while another tracks player goals. Your AutoGen agents use `McpToolAdapter` to automatically convert the schemas, allowing smooth tool execution within the multi-agent framework. This lets your agents build complex summaries of the Copa do Brasil without manual schema mapping.
Set up API-Futebol (Brazilian 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes API-Futebol (Brazilian Football) tools and returns structured results.
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-Futebol (Brazilian Football)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent API-Futebol (Brazilian Football) data")
print(result.messages[-1].content)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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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-Futebol (Brazilian Football)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent API-Futebol (Brazilian Football) data")
print(result.messages[-1].content)Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by API-Futebol. 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-Futebol (Brazilian Football) MCP in AutoGen
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