How to Use the API-Futebol (Brazilian Football) MCP in CrewAI

Q: How do I filter tools for API-Futebol (Brazilian Football) in CrewAI?

Use the toolfilter option in your CrewAI configuration. This allows you to restrict which agents have access to specific football data.

Deploy a crew of specialized agents to monitor Brazilian football matches with CrewAI.

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Connect API-Futebol (Brazilian Football) MCP to CrewAI

Create your Vinkius account to connect API-Futebol (Brazilian Football) to CrewAI 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-Futebol (Brazilian Football) with CrewAI

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Multi-agent research with CrewAI

Assign a researcher agent to use `list_top_scorers` and `list_championships` to build a full league report. Your CrewAI team collaborates to gather the data. This removes the burden of manual data assembly. One agent gathers the stats while another formats them for your final report.

Automated schedule management in CrewAI

Direct your CrewAI agents to use `get_team_matches` for tracking specific club schedules. They can coordinate with each other to ensure no game is missed. This keeps your operations running without constant human oversight. Your agents handle the scheduling updates as soon as the API reports a change.

Real-time match analysis via CrewAI

Deploy an agent to call `get_match_details` during live events for instant tactical breakdowns. Your CrewAI setup processes these details to generate summaries. It turns raw scores into actionable intelligence. Your team of agents works in parallel to keep you informed on every development.

Setup guide

Set up API-Futebol (Brazilian Football) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke API-Futebol (Brazilian Football) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="API-Futebol (Brazilian Football) Analyst",
    goal="Access and analyze API-Futebol (Brazilian Football) data via MCP.",
    backstory="Expert analyst with direct API-Futebol (Brazilian Football) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent API-Futebol (Brazilian Football) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="API-Futebol (Brazilian Football) Analyst",
        goal="Access and analyze API-Futebol (Brazilian Football) data via MCP.",
        backstory="Expert analyst with direct API-Futebol (Brazilian Football) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent API-Futebol (Brazilian Football) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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Common questions about API-Futebol (Brazilian Football) MCP in CrewAI

Use the tool_filter option in your CrewAI configuration. This allows you to restrict which agents have access to specific football data.

Yes, they use the shared memory feature to pass information between agents. Once one agent retrieves match data, the whole crew can use it.

It is fully compatible. You can designate a manager agent to call the tools and delegate analysis tasks to the rest of the crew.

You provide your endpoint token during the agent initialization. Your session is isolated within the Vinkius sandbox for your protection.

Only football-related match results and team rosters. The server does not track your agent's private activity or any personal identification.

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