NetEase Cloud Gaming MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect NetEase Cloud Gaming through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Cloud Gaming, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Cloud Gaming MCP Server
Connect your AI agents to NetEase Cloud Gaming (网易云游戏), the leading platform for instant cloud-native gaming. This MCP provides 10 tools to manage the entire lifecycle of cloud gaming sessions and user access controls.
The Vercel AI SDK gives every NetEase Cloud Gaming tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Session Control — Create, stop, and monitor cloud gaming sessions with real-time status updates
- Catalog Management — List optimized games and retrieve detailed technical specifications
- Quota Orchestration — Monitor and adjust user play time quotas and subscription limits
- Infrastructure Monitoring — Inspect server clusters and check global system health
The NetEase Cloud Gaming 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 Cloud Gaming to Vercel AI SDK via MCP
Follow these steps to integrate the NetEase Cloud Gaming MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from NetEase Cloud Gaming and passes them to the LLM
Why Use Vercel AI SDK with the NetEase Cloud Gaming MCP Server
Vercel AI SDK provides unique advantages when paired with NetEase Cloud Gaming through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same NetEase Cloud Gaming integration everywhere
Built-in streaming UI primitives let you display NetEase Cloud Gaming tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
NetEase Cloud Gaming + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the NetEase Cloud Gaming MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query NetEase Cloud Gaming in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate NetEase Cloud Gaming tools and return structured JSON responses to any frontend
Chatbots with tool use: embed NetEase Cloud Gaming capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with NetEase Cloud Gaming through natural language queries
NetEase Cloud Gaming MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect NetEase Cloud Gaming to Vercel AI SDK via MCP:
add_user_quota
Add cloud play time to a user account
create_session
Initialize a new NetEase cloud gaming session
get_cluster_info
Get detailed info for a specific cluster
get_game_detail
Get details for a specific NetEase cloud game
get_session_status
Check the status of a cloud gaming session
get_system_health
Check overall health of the NetEase Cloud Gaming platform
get_user_quota
Get remaining cloud play time for a user
list_clusters
List cloud gaming server clusters
list_games
List games available on NetEase Cloud Gaming
stop_session
Force stop an active cloud gaming session
Example Prompts for NetEase Cloud Gaming in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with NetEase Cloud Gaming immediately.
"Create a cloud gaming session for game 'game_456' and user 'user_789'."
"List all games currently available on the NetEase Cloud platform."
"Show the remaining quota for user 'user_beta_1'."
Troubleshooting NetEase Cloud Gaming MCP Server with Vercel AI SDK
Common issues when connecting NetEase Cloud Gaming to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNetEase Cloud Gaming + Vercel AI SDK FAQ
Common questions about integrating NetEase Cloud Gaming MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect NetEase Cloud Gaming with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NetEase Cloud Gaming to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.