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Broadage Sports MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Broadage Sports as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Broadage Sports. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Broadage Sports?"
    )
    print(response)

asyncio.run(main())
Broadage Sports
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Broadage Sports MCP Server

Connect your Broadage Sports account to any AI agent and orchestrate your sports research, live score tracking, and match analysis workflows through natural conversation.

LlamaIndex agents combine Broadage Sports tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Live Score Monitoring — List soccer matches currently in progress and retrieve real-time score updates.
  • Match Analysis — Get detailed summaries, statistics (possession, shots), and event timelines (goals, cards) for any match.
  • Lineup Coordination — Retrieve starting XI and substitute information for upcoming matches to analyze team strategy.
  • Schedule Oversight — List matches by date to plan your coverage or monitor specific tournaments.
  • Tournament Discovery — Access the directory of all supported sports, tournaments, and match statuses.
  • Player Intelligence — List players for specific teams to retrieve roster details.

The Broadage Sports MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Broadage Sports to LlamaIndex via MCP

Follow these steps to integrate the Broadage Sports MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Broadage Sports

Why Use LlamaIndex with the Broadage Sports MCP Server

LlamaIndex provides unique advantages when paired with Broadage Sports through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Broadage Sports tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Broadage Sports tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Broadage Sports, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Broadage Sports tools were called, what data was returned, and how it influenced the final answer

Broadage Sports + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Broadage Sports MCP Server delivers measurable value.

01

Hybrid search: combine Broadage Sports real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Broadage Sports to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Broadage Sports for fresh data

04

Analytical workflows: chain Broadage Sports queries with LlamaIndex's data connectors to build multi-source analytical reports

Broadage Sports MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Broadage Sports to LlamaIndex via MCP:

01

get_match_events

Get timeline of match events (goals, cards)

02

get_match_lineup

Get starting lineups and substitutes for a match

03

get_match_stats

Get detailed match statistics (possession, shots)

04

get_match_summary

Get summary and score for a specific match

05

list_live_matches

List soccer matches currently in progress

06

list_match_statuses

List possible match status definitions

07

list_matches_by_date

List soccer matches for a specific date (YYYY-MM-DD)

08

list_sports

List all supported sports

09

list_team_players

List players for a specific team

10

list_tournaments

List all available sports tournaments

Example Prompts for Broadage Sports in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Broadage Sports immediately.

01

"Show the live soccer scores for today."

02

"What's the starting lineup for the match with ID 12345?"

03

"Show match statistics for match 12345."

Troubleshooting Broadage Sports MCP Server with LlamaIndex

Common issues when connecting Broadage Sports to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Broadage Sports + LlamaIndex FAQ

Common questions about integrating Broadage Sports MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Broadage Sports tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Broadage Sports to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.