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How to Use the Brawl Stars MCP in Vercel AI SDK

Pipe live Brawl Stars stats directly into your Next.js UI components with the Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Brawl Stars MCP to Vercel AI SDK

Create your Vinkius account to connect Brawl Stars 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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Real-time leaderboard rendering in Vercel AI SDK

Your React frontends can use `get_player_rankings` to render player standings immediately without waiting for massive payloads. By combining this tool with Vercel's streaming capabilities, your agent spits out raw leaderboard positions that populate your custom table components as the data arrives. This setup avoids the typical loading spinner lag when fetching competitive rankings. When a user asks who is dominating the global ladder, the agent pulls fresh numbers using this MCP Server and populates the UI instantly.

Interactive player profile cards in Next.js

By pulling data with `get_player` and `get_player_battlelog`, your Next.js application can build interactive profile cards on the fly. Skip static JSON dumps when showing player performance in your chat interface. The agent processes the last 25 games on the fly to highlight win rates and favorite brawlers. Because the transport layer handles the API calls, your Next.js edge functions stay fast and light.

Live event rotation widgets

Calling `get_event_rotation` lets your application display active map rotations directly inside your user interface. The Vercel AI SDK uses this MCP Server to let your agent output the current map pool directly into the user's active session. This means your UI displays active game modes without requiring manual API polling setup. Your AI client simply asks the server what is playable right now and paints the results.

Setup guide

Set up Brawl Stars 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Brawl Stars transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Brawl Stars. 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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

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Common questions about Brawl Stars MCP in Vercel AI SDK

Initialize the MCP client using `createMCPClient` with the Vinkius URL. Pass the tools directly to `streamText` so your agent can call `get_player` and stream the profile data straight to your React frontend.
Yes, because the server runs in Vinkius's hosted environment, your edge functions don't get weighed down. The agent calls `get_club_rankings` and streams the JSON response directly to the client.
You need to call `mcpClient.close()` once your streaming session finishes to clean up the MCP connection. This ensures your connection to the server doesn't leak memory or leave active sockets open.
The agent invokes `get_event_rotation` inside your `generateText` call. It translates the raw rotation JSON into a clean list of maps for the user.
Vinkius runs the server in an isolated sandbox, meaning your API tokens and player identifiers are never logged or stored. The Vercel AI SDK only receives the structured JSON output of `get_player_battlelog` over a secure MCP transport.

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