Tencent START MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tencent START 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 Tencent START, 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 Tencent START MCP Server
Connect your AI agents to Tencent START Cloud Gaming (GS), the high-performance PaaS platform for cloud-native gaming. This MCP provides 11 tools to automate game instance locking, session creation, and scaling management.
The Vercel AI SDK gives every Tencent START tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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 Lifecycle — Lock workers, create server sessions, and stop games programmatically
- Resource Management — Monitor worker status and availability across different game IDs
- User Monitoring — Track concurrent users and worker assignments in real-time
- Capacity Scaling — Modify concurrency limits to dynamically adjust to player demand
The Tencent START MCP Server exposes 11 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 Tencent START to Vercel AI SDK via MCP
Follow these steps to integrate the Tencent START 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 11 tools from Tencent START and passes them to the LLM
Why Use Vercel AI SDK with the Tencent START MCP Server
Vercel AI SDK provides unique advantages when paired with Tencent START 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 Tencent START integration everywhere
Built-in streaming UI primitives let you display Tencent START 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
Tencent START + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tencent START MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tencent START in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tencent START tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tencent START capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tencent START through natural language queries
Tencent START MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Tencent START to Vercel AI SDK via MCP:
create_session
Initialize a cloud gaming session
get_capacity_limit
Check max concurrent user limit for a game
get_concurrent_user_info
Check current concurrency for a game
get_worker_info
Get worker info for a specific user
list_games
List games available on the Tencent GS platform
list_workers
List status of cloud gaming workers
modify_capacity_limit
Update max concurrent user limit for a game
stop_game
Ends a game session and releases the instance
stop_publish_stream
Stops the video stream for a specific user
stop_publish_stream_by_action
Stops the video stream using an explicit action code
try_lock_worker
Locks a cloud gaming instance for a specific user
Example Prompts for Tencent START in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tencent START immediately.
"List all cloud games available in region 'ap-guangzhou'."
"Check the status of workers for game 'game_101'."
"Modify the concurrency limit for game 'game_202' to 100 users."
Troubleshooting Tencent START MCP Server with Vercel AI SDK
Common issues when connecting Tencent START to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTencent START + Vercel AI SDK FAQ
Common questions about integrating Tencent START 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 Tencent START 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 Tencent START to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.