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NetEase BUFF MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect NetEase BUFF through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using NetEase BUFF, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
NetEase BUFF
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About NetEase BUFF MCP Server

Interface directly with the colossal NetEase BUFF163 Marketplace through native intelligent pipelines unlocking absolute oversight parsing billion-dollar digital goods ecosystems seamlessly.

The Vercel AI SDK gives every NetEase BUFF tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Pricing Analysis — Pull exhaustive recent sales metrics analyzing exact price drops measuring real float values over massive item pools
  • Market Trends — Cross-reference hundreds of listed goods tracing the active inflation or dip occurring during esports majors instantly via deep API queries
  • Inventory Valuation — Push your steam inventory ID verifying total equity value converted fluently cross-currency mapping live market states accurately

The NetEase BUFF MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect NetEase BUFF to Vercel AI SDK via MCP

Follow these steps to integrate the NetEase BUFF MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from NetEase BUFF and passes them to the LLM

Why Use Vercel AI SDK with the NetEase BUFF MCP Server

Vercel AI SDK provides unique advantages when paired with NetEase BUFF through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same NetEase BUFF integration everywhere

03

Built-in streaming UI primitives let you display NetEase BUFF tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

NetEase BUFF + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the NetEase BUFF MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query NetEase BUFF in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate NetEase BUFF tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed NetEase BUFF capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with NetEase BUFF through natural language queries

NetEase BUFF MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect NetEase BUFF to Vercel AI SDK via MCP:

01

cancel_order

Cancel an open buy or sell order

02

create_buy_order

Place a buy order for an item

03

get_buy_orders

List active buy orders for a specific item

04

get_market_items

Search for game skins and items on BUFF market

05

get_price_history

View historical transaction prices

06

get_sell_orders

List active sell listings for a specific item

07

get_transaction_history

View logs of successfully traded items

08

get_user_inventory

Fetch items currently in your BUFF/Steam backpack

09

get_user_profile

Fetch logged in user wallet balance and info

10

sync_inventory

Force synchronize Steam backpack with BUFF

Example Prompts for NetEase BUFF in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with NetEase BUFF immediately.

01

"Summarize the value and float history of item class 391A pulled actively right now simply."

02

"Chart the current regional top 5 highest volumes listed covering the global ladder rapidly isolated."

03

"Verify the total aggregated portfolio worth from specific user token ending in 41X fetching raw sum simply native format."

Troubleshooting NetEase BUFF MCP Server with Vercel AI SDK

Common issues when connecting NetEase BUFF to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

NetEase BUFF + Vercel AI SDK FAQ

Common questions about integrating NetEase BUFF MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect NetEase BUFF to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.