How to Use the Broadage Sports MCP in CrewAI

Deploy a crew of specialized sports agents with CrewAI to analyze live soccer data and compile match reports autonomously.

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Connect Broadage Sports MCP to CrewAI

Create your Vinkius account to connect Broadage Sports 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 Broadage Sports with CrewAI

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Multi-agent match analysis with CrewAI

`get_match_stats` allows your CrewAI analyst agent to dissect team performance metrics. While the analyst agent reviews possession and shots, a researcher agent uses `get_match_events` to build a chronological game timeline. They share this data in common memory to compile a complete post-game report. This MCP Server gives your crew the exact data points they need to collaborate. You don't write glue code; the agents negotiate who calls which tool based on their assigned roles.

Autonomous live tracking MCP Server

`list_live_matches` acts as the trigger for your monitoring crew. A scout agent checks the active games list, identifies high-profile matches, and assigns a reporter agent to track live scores. If a red card occurs, a moderator agent can immediately escalate the event. By exposing these tools to your crew, you build a fully autonomous sports desk. The agents run in a loop, passing match summaries back and forth until the final whistle.

Deep team profiling

`list_team_players` feeds player rosters directly into your scouting crew. Your tactical agent uses `get_match_lineup` to see who starts, while a historical agent runs `list_matches_by_date` to check recent team forms. They collaborate to predict tactical setups. This setup runs sequentially or hierarchically. You define the manager agent, and they delegate the Broadage queries to the crew members best suited for the task.

Setup guide

Set up Broadage Sports 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 Broadage Sports tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Broadage Sports 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 →

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="Broadage Sports Analyst",
        goal="Access and analyze Broadage Sports data via MCP.",
        backstory="Expert analyst with direct Broadage Sports access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Broadage Sports 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 →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Broadage Sports. 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 Broadage Sports MCP in CrewAI

Yes. CrewAI agents share access to the MCP tools. Your analyst agent can call get_match_stats while your writer agent calls get_match_summary in parallel.

You pass the server URL directly in the agent's mcps list. CrewAI automatically configures the MCP transport and makes all ten sports tools available to that agent.

Yes. You can use the MCPServerHTTP class from CrewAI to apply a tool filter, ensuring your researcher only accesses lineups and your writer only accesses summaries.

Yes. The framework supports stdio, SSE, and HTTP transports, making it easy to run your sports crew locally or on a cloud server.

Every request for match stats and rosters runs through a secure, isolated V8 sandbox. We do not persist your queries or log the private sports data your crew analyzes.

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