Vivo Game Open Platform MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vivo Game Open Platform 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 Vivo Game Open Platform, 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 Vivo Game Open Platform MCP Server
Connect your AI agents to the Vivo Game Open Platform (vivo 开放平台), the primary ecosystem for game distribution on Vivo mobile devices. This MCP provides 9 tools to automate server-to-server validation, payment tracking, and player data reporting for high-performance mobile and mini-games.
The Vercel AI SDK gives every Vivo Game Open Platform tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Authentication — Validate user tokens and retrieve unique
openididentifiers from the Vivo account service - Payment Orchestration — Query real-time status for payment orders and reconcile transactions programmatically
- Game Analytics — Report player progress, high scores, and level data to the Vivo Game Center rankings
- Role Management — Update character/role information including names, levels, and server assignments
- App Configuration — Fetch current application settings and list active game servers from the developer console
The Vivo Game Open Platform MCP Server exposes 9 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 Vivo Game Open Platform to Vercel AI SDK via MCP
Follow these steps to integrate the Vivo Game Open Platform 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 9 tools from Vivo Game Open Platform and passes them to the LLM
Why Use Vercel AI SDK with the Vivo Game Open Platform MCP Server
Vercel AI SDK provides unique advantages when paired with Vivo Game Open Platform 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 Vivo Game Open Platform integration everywhere
Built-in streaming UI primitives let you display Vivo Game Open Platform 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
Vivo Game Open Platform + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vivo Game Open Platform MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vivo Game Open Platform in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vivo Game Open Platform tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vivo Game Open Platform capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vivo Game Open Platform through natural language queries
Vivo Game Open Platform MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Vivo Game Open Platform to Vercel AI SDK via MCP:
get_app_config
Retrieve application configuration from Vivo platform
get_server_time
Synchronize with Vivo platform server time
get_user_info
Retrieve basic profile data for a Vivo user
list_game_servers
Query the list of game servers
list_items
Query available virtual items for the app
query_order
Check the status of a specific payment order
report_game_data
Submit player progress and scores to Vivo Game Center
report_role_info
Report character or role information
validate_login
Verify a user login token from Vivo SDK
Example Prompts for Vivo Game Open Platform in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vivo Game Open Platform immediately.
"Check the status of Vivo order ID 'cp_order_555666'."
"Validate the login token 'tok_vivo_abc' from the client."
"List all active game servers configured in the Vivo console."
Troubleshooting Vivo Game Open Platform MCP Server with Vercel AI SDK
Common issues when connecting Vivo Game Open Platform to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVivo Game Open Platform + Vercel AI SDK FAQ
Common questions about integrating Vivo Game Open Platform 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 Vivo Game Open Platform 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 Vivo Game Open Platform to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.