How to Use the AccelByte MCP in Mastra AI

Q: How do I configure the AccelByte MCP Server inside Mastra AI?

You initialize the client using the MCPClient class with your Vinkius endpoint URL. Spread the tools from mcpClient.listTools() directly into your agent's tool configuration array.

Build reliable AccelByte game workflows in Mastra AI with automatic retries and conditional branching.

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Connect AccelByte MCP to Mastra AI

Create your Vinkius account to connect AccelByte to Mastra AI 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 Mastra AI

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Automated Moderation Workflows

The `ban_user` tool suspends players who breach terms of service or trigger cheat detections through this MCP integration. Using a structured workflow, your agent evaluates player behavior and applies bans without manual intervention. Set up conditional branches that execute `update_user_status` to put an account under review instead of a permanent block. This actually matters because it prevents false positives when automated checks flag a false alarm.

Fail-Safe Purchase Flows

The `create_order` tool initializes transaction records on the game backend. When a player buys an item, the agent triggers the order creation and monitors the payment status. If the transaction fails, the workflow engine automatically retries with exponential backoff before notifying the team. Once confirmed, it runs `grant_entitlement` to deliver the virtual goods, keeping the entire pipeline resilient against network hiccups.

Player Profile Syncing via MCP Server

The `get_user` tool retrieves detailed administrative profiles for specific player accounts. Your agent uses this tool to audit account states, verify active sessions, and check registration dates. By linking this with `list_friends`, the agent can map out social networks to detect coordinated botting behavior. Configure human-in-the-loop approvals before running critical actions like deleting credentials, giving you complete control over sensitive operations.

Setup guide

Set up AccelByte MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All AccelByte tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "accelbyte-mcp-client",
  servers: {
    "accelbyte-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "AccelByte Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to AccelByte tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent AccelByte transactions"
);
console.log(result.text);

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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 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 Mastra AI

You initialize the client using the `MCPClient` class with your Vinkius endpoint URL. Spread the tools from `mcpClient.listTools()` directly into your agent's tool configuration array.

Yes, you use the framework's tool approval configuration to intercept sensitive commands. For example, you can require manual confirmation before the agent executes `ban_user` or `delete_client`.

The workflow engine has built-in exponential backoff and retry mechanisms. If a call to `get_user_wallets` fails due to API limits, the system retries automatically behind the scenes.

No, the client auto-detects whether the endpoint uses Streamable HTTP or Server-Sent Events (SSE). You only need to provide the target URL, and the framework manages the underlying connection.

Your administrative credentials and social graphs are never written to disk or stored by Vinkius. Every request is routed through a secure, ephemeral sandbox that processes the data in memory and discards it immediately.

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