How to Use the Lingyi Wanwu MCP in Vercel AI SDK

Q: How do I check Lingyi Wanwu limits in Vercel AI SDK?

Run getusage to see your current statistics. It provides a clear view of your token spend and request volume.

Q: What happens if a user submits bad content to Lingyi Wanwu via Vercel AI SDK?

Use checkmoderation to filter inputs before they reach the model. It flags policy violations so you can block them in your UI.

Connect Lingyi Wanwu to your Vercel AI SDK frontend for real-time model streaming and live data updates.

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Connect Lingyi Wanwu MCP to Vercel AI SDK

Create your Vinkius account to connect Lingyi Wanwu to Vercel AI SDK 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 Lingyi Wanwu with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream Yi model chat completions

Pipe text directly from Yi models into your React or Next.js components. Use `chat_completions` to handle streaming payloads without waiting for complete response cycles. Your UI updates as the model generates tokens. This keeps the interface responsive and removes the need for static loading states.

Generate embeddings for vector search

Feed your text data into `get_embeddings` to build searchable knowledge bases in your application. The server returns high-dimensional vectors ready for immediate storage. Your frontend can trigger these requests during user input sessions. It provides the underlying data needed for semantic retrieval features.

Track model consumption metrics

Monitor your API usage directly within the Vercel AI SDK workflow using `get_usage`. Get exact token counts and request frequency without leaving your code editor. Knowing your consumption patterns helps you manage costs before they spike. It gives you the raw data to implement budget alerts.

Setup guide

Set up Lingyi Wanwu MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Lingyi Wanwu tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Lingyi Wanwu transactions",
});

console.log(text);
await mcpClient.close();

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 Lingyi Wanwu. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lingyi Wanwu MCP in Vercel AI SDK

Yes. Connect the server via HTTP transport to pull Yi models into your project. You can start streaming responses immediately after configuring the client.

Run `get_usage` to see your current statistics. It provides a clear view of your token spend and request volume.

It is. The server supports streaming chat completions that hook right into standard SDK patterns. You get live text output in your browser.

Use `check_moderation` to filter inputs before they reach the model. It flags policy violations so you can block them in your UI.

Data stays local to your authenticated session. We use ephemeral connections and secure token handling to ensure your API keys never touch the client-side code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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