How to Use the NetEase BUFF MCP in Mastra AI

Q: Does Mastra AI support filtering which NetEase BUFF tools an agent can use?

Yes. When you initialize the MCPClient in Mastra AI, you can provide a list of tool names to include or exclude, giving you fine-grained control over the agent's capabilities.

Build automated, fault-tolerant trading bots for NetEase BUFF using the Mastra AI SDK.

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Connect NetEase BUFF MCP to Mastra AI

Create your Vinkius account to connect NetEase BUFF 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 NetEase BUFF with Mastra AI

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Build Resilient Trading Workflows

Mastra AI is built for creating automated sequences that don't fail. You can design a workflow that uses `get_price_history` to spot a dip, then automatically triggers `create_buy_order`. If the API call fails, Mastra’s engine retries with backoff. This isn't just a simple script. You can add conditional logic: if a buy order isn't filled within an hour, use `cancel_order` and notify you. It's how you build a bot that runs reliably without constant supervision.

Automate Inventory and Auditing

A solid bot needs to know what it owns. Set up a Mastra AI workflow to run `sync_inventory` daily, ensuring your item data is never stale. Then, have it cross-reference `get_user_inventory` with `get_transaction_history`. If it finds a discrepancy—an item that was sold but still shows in your inventory—it can flag it for review. This MCP Server gives you the tools for automated accounting, not just trading.

Deploy Bots with Human Oversight

Mastra AI makes it easy to add a manual approval step to any workflow. Before your bot executes a high-value `create_buy_order`, you can configure it to pause and wait for your confirmation using `requireToolApproval`. This gives you the speed of automation with the safety of human-in-the-loop control. You get a notification, you approve or deny, and the workflow continues. It's the best way to test a new trading strategy without risking your entire balance.

Setup guide

Set up NetEase BUFF 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 NetEase BUFF 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: "netease-buff-mcp-client",
  servers: {
    "netease-buff-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent NetEase BUFF 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 NetEase BUFF. 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 NetEase BUFF MCP in Mastra AI

Mastra AI has a built-in workflow engine with automatic retries and exponential backoff. If a call to `create_buy_order` on the NetEase BUFF server fails, Mastra can wait and try again without your code crashing.

Yes, this is a core feature. You can wrap any tool call, like `create_buy_order`, with Mastra AI's `requireToolApproval` function to add a human-in-the-loop checkpoint to your NetEase BUFF trading bot.

You can deploy your Mastra AI agent as a cron job. The agent's workflow would simply call the `sync_inventory` tool at your specified interval, keeping your NetEase BUFF data fresh.

Yes. When you initialize the `MCPClient` in Mastra AI, you can provide a list of tool names to include or exclude, giving you fine-grained control over the agent's capabilities.

This server handles your NetEase BUFF account details, order history, and inventory data. Mastra AI workflows run within Vinkius's ephemeral sandboxes, and your auth token encrypts the connection. No trading or inventory data is ever logged or persisted by Vinkius.

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