How to Use the Broadage Sports MCP in Vercel AI SDK

Q: How do I handle match lineups using Broadage Sports and Vercel AI SDK?

You call getmatchlineup within your tool definitions. The SDK passes the player array directly to your UI, where you can render a visual starting eleven without writing separate API routes.

Feed real-time soccer stats directly into your Next.js frontend with Vercel AI SDK, displaying live updates without loading spinners.

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Connect Broadage Sports MCP to Vercel AI SDK

Create your Vinkius account to connect Broadage Sports to Vercel AI SDK 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 Vercel AI SDK

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Live soccer streams for Vercel AI SDK

`list_live_matches` feeds active soccer game data straight to your streaming UI. Your Next.js app renders goals and cards the second they happen because the Vercel AI SDK streams these tool outputs directly to the client components. No polling, no loading spinners, just raw JSON turning into clean UI elements. You write custom React components that catch the tool call. When the user asks for active games, your UI updates dynamically as the agent parses the live scoreboards.

Instant lineup displays with this MCP Server

`get_match_lineup` pulls starting rosters and bench players before kickoff. Your Vercel AI SDK setup intercepts this data, letting you render a visual pitch layout on the fly. You don't have to fetch this on a separate backend route; the agent does it and pushes the array to your client. This MCP Server exposes player lists so your frontend can map names to positions instantly. If a manager swaps a midfielder, your UI updates the active roster without a full page reload.

Deep game stats on the edge

`get_match_stats` fetches possession percentages, total shots, and corner counts for any active match. Since Vercel AI SDK runs on edge functions, your agent processes these stats and pipes them to the user with minimal latency. No heavy database queries on your main server, just fast API roundtrips. You combine this with `get_match_events` to build a live-updating timeline. The agent handles the raw data structure while your React frontend renders the visual bars and progress wheels.

Setup guide

Set up Broadage Sports MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Broadage Sports tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Broadage Sports transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

You use the streamText function alongside the MCP client. When the agent calls list_live_matches, the SDK streams the match data chunk by chunk to your React components, letting you render live scores immediately.

Yes. The MCP client connects to our hosted endpoint over HTTP. This lightweight connection doesn't require heavy dependencies, making it perfect for Next.js edge runtimes.

You call get_match_lineup within your tool definitions. The SDK passes the player array directly to your UI, where you can render a visual starting eleven without writing separate API routes.

No. The Vercel SDK handles the streaming state. When the agent uses get_match_events, the UI updates automatically as new events flow in.

We isolate every session in a sandbox. The server only reads team IDs and match dates to return lineups and stats, keeping your users' prompt history completely private.

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