Broadage Sports MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Data-first architecture: LlamaIndex agents combine Broadage Sports tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Broadage Sports tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Broadage Sports, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Broadage Sports real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Broadage Sports to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Broadage Sports for fresh data
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:
get_match_events
Get timeline of match events (goals, cards)
get_match_lineup
Get starting lineups and substitutes for a match
get_match_stats
Get detailed match statistics (possession, shots)
get_match_summary
Get summary and score for a specific match
list_live_matches
List soccer matches currently in progress
list_match_statuses
List possible match status definitions
list_matches_by_date
List soccer matches for a specific date (YYYY-MM-DD)
list_sports
List all supported sports
list_team_players
List players for a specific team
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.
"Show the live soccer scores for today."
"What's the starting lineup for the match with ID 12345?"
"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.
BasicMCPClient not found
pip install llama-index-tools-mcpBroadage Sports + LlamaIndex FAQ
Common questions about integrating Broadage Sports MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Broadage Sports with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
