How to Use the AccelByte MCP in Vercel AI SDK

Q: How do I authenticate the AccelByte MCP Server with Vercel AI SDK?

You use the createMCPClient helper to establish an HTTP connection. Pass your endpoint credentials to the authProvider option to handle token generation and keep your session secure.

Q: Can I stream AccelByte leaderboard data using Vercel AI SDK?

Yes, you run streamText and pass the tools retrieved from the client. The AI client calls getleaderboard and pipes the raw rank data directly into your frontend components in real time.

Q: How does Vercel AI SDK handle player moderation with this MCP Server?

Your agent calls banuser or updateuserstatus when a player violates community guidelines. The status change reflects instantly in your admin dashboard, and you must call mcpClient.close() to clean up the network connection afterward.

Pipe live AccelByte game data straight into your UI using Vercel AI SDK without annoying loading spinners.

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Connect AccelByte MCP to Vercel AI SDK

Create your Vinkius account to connect AccelByte 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 AccelByte with Vercel AI SDK

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Real-time Player Onboarding with Vercel AI SDK

The `create_user` tool lets you register new players in your specified game namespace instantly. When your player fills out a registration form, your AI client triggers this action, generates an account, and immediately returns the profile data. To keep the UI snappy, you pair this with `generate_token` to authenticate the session on the fly. This setup bypasses slow server-side roundtrips, spinning up accounts while streaming the confirmation state directly to the user's viewport.

Live Leaderboard and Wallet Updates

The `get_leaderboard` tool fetches current player rankings directly from your game server via the MCP Server connection. Instead of waiting for a full page reload, the AI client pulls the latest rankings and displays them as they arrive. You run `get_user_wallets` to display virtual currency balances right next to the high scores. Here's the thing. Streaming this directly into your React components means zero loading spinners.

Instant In-Game Entitlements via MCP Server

The `grant_entitlement` tool assigns virtual items, DLCs, or access passes to a player's account. Your AI client executes this entitlement grant during live support chat or when a player triggers an in-app purchase. While the client processes the transaction, you run `create_order` to log the purchase details. This prevents UI lag by updating the player's inventory list in real time, keeping them engaged in the game loop instead of staring at a loading wheel.

Setup guide

Set up AccelByte 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 AccelByte 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 AccelByte transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AccelByte. 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 AccelByte MCP in Vercel AI SDK

You use the `createMCPClient` helper to establish an HTTP connection. Pass your endpoint credentials to the authProvider option to handle token generation and keep your session secure.

Yes, you run `streamText` and pass the tools retrieved from the client. The AI client calls `get_leaderboard` and pipes the raw rank data directly into your frontend components in real time.

Your agent calls `ban_user` or `update_user_status` when a player violates community guidelines. The status change reflects instantly in your admin dashboard, and you must call `mcpClient.close()` to clean up the network connection afterward.

No, you can run this setup inside edge functions or serverless environments. Vinkius hosts the server, so you only need to connect to the provided endpoint from your Next.js API routes.

All requests travel through a zero-trust V8 sandbox that never persists your OAuth2 tokens or wallet balances. Vinkius acts as an ephemeral proxy, passing credentials directly to the identity provider and discarding them instantly.

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