Broadage Sports MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Broadage Sports through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"broadage-sports": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Broadage Sports Agent",
instructions:
"You help users interact with Broadage Sports " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Broadage Sports?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Broadage Sports tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Broadage Sports MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Broadage Sports via MCP
Why Use Mastra AI with the Broadage Sports MCP Server
Mastra AI provides unique advantages when paired with Broadage Sports through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Broadage Sports without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Broadage Sports tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Broadage Sports + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Broadage Sports MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Broadage Sports, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Broadage Sports as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Broadage Sports on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Broadage Sports tools alongside other MCP servers
Broadage Sports MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Broadage Sports to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Broadage Sports to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBroadage Sports + Mastra AI FAQ
Common questions about integrating Broadage Sports MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Broadage Sports with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.