How to Use the NetEase BUFF MCP in Cursor

Q: How do I configure the NetEase BUFF MCP Server in Cursor?

Create a .cursor/mcp.json file in your project root. Add the server command or remote URL under the mcpServers key. Switch your chat to Agent mode to start calling tools.

Q: Can Cursor test NetEase BUFF buy orders during development?

Yes. The agent triggers createbuyorder directly from your chat prompt. You see the live API response and Cursor writes the corresponding error handling code.

Build custom trading bots in Cursor using live NetEase BUFF data.

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Connect NetEase BUFF MCP to Cursor

Create your Vinkius account to connect NetEase BUFF to Cursor 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Write trading logic with Cursor Agent

The NetEase BUFF MCP Server injects real API responses into your code editor. Cursor Agent calls `get_market_items` to grab live skin data while you write your polling loop. You build against actual JSON payloads, not mocked documentation. When you need to parse trends, the agent fetches `get_price_history`. Cursor reads the historical price arrays and writes the exact sorting functions you need to detect price drops.

Test buy orders in your editor

You implement execution logic by letting Cursor call `create_buy_order` and `cancel_order`. The agent sees the required parameters and writes the matching TypeScript interfaces. Testing your logic requires real order book depth. Cursor pulls `get_sell_orders` and `get_buy_orders` to populate your test cases. You verify your spread calculation functions against actual market conditions.

Connect user accounts

Your application needs to know what the user owns. Cursor wires up `get_user_inventory` to load the current backpack state. If the data looks stale, the agent scripts a fallback to `sync_inventory`. Wallet validation is just as critical. Cursor uses `get_user_profile` to grab the user's available balance. It then writes the error handling logic to prevent trades that exceed those funds, backing it up with `get_transaction_history` logs.

Setup guide

Set up NetEase BUFF MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the NetEase BUFF MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent NetEase BUFF transactions." If the MCP tools are loaded correctly, Cursor will call the NetEase BUFF tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "netease-buff-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 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 Cursor

Create a `.cursor/mcp.json` file in your project root. Add the server command or remote URL under the `mcpServers` key. Switch your chat to Agent mode to start calling tools.

Yes. The agent triggers `create_buy_order` directly from your chat prompt. You see the live API response and Cursor writes the corresponding error handling code.

You ask Cursor to write backoff logic based on real API failures. The agent tests `get_market_items` repeatedly, observes the throttling behavior, and implements a retry queue in your code.

Steam backpack changes require a forced refresh. Prompt Cursor to execute `sync_inventory`. The agent will force BUFF to fetch your latest items before querying `get_user_inventory` again.

The server processes your Steam connection tokens and BUFF wallet balance purely in memory. Vinkius runs the connection inside an ephemeral zero-trust environment, so your trading credentials never leak into your codebase.

Use it with your favorite AI tools

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