Lingyi Wanwu MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lingyi Wanwu through 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 Lingyi Wanwu, 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 Lingyi Wanwu MCP Server
Connect your AI agents to Lingyi Wanwu (01.AI), the high-performance AI lab founded by Dr. Kai-Fu Lee. This MCP provides 10 tools to automate interactions with the Yi series of large language models, including state-of-the-art chat completions, semantic embeddings, and account usage monitoring.
The Vercel AI SDK gives every Lingyi Wanwu tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Yi Model Interaction — Trigger chat completions with Yi-34B, Yi-Large, and other optimized models using persistent context
- Vector Embeddings — Generate high-dimensional semantic embeddings to power advanced RAG and search workflows
- Model Intelligence — List all available models and retrieve granular technical specifications for each version
- Account Management — Monitor your token consumption and balance programmatically to optimize costs
The Lingyi Wanwu MCP Server exposes 5 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 Lingyi Wanwu to Vercel AI SDK via MCP
Follow these steps to integrate the Lingyi Wanwu 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 5 tools from Lingyi Wanwu and passes them to the LLM
Why Use Vercel AI SDK with the Lingyi Wanwu MCP Server
Vercel AI SDK provides unique advantages when paired with Lingyi Wanwu 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 Lingyi Wanwu integration everywhere
Built-in streaming UI primitives let you display Lingyi Wanwu 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
Lingyi Wanwu + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lingyi Wanwu MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lingyi Wanwu in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lingyi Wanwu tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lingyi Wanwu capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lingyi Wanwu through natural language queries
Lingyi Wanwu MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect Lingyi Wanwu to Vercel AI SDK via MCP:
chat_completions
Send a message to a Yi model
check_moderation
Check content for policy violations
get_embeddings
Generate text embeddings
get_usage
Retrieve account usage statistics
list_models
List available Yi models
Example Prompts for Lingyi Wanwu in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lingyi Wanwu immediately.
"Chat with the Yi-Large model and ask 'Explain the impact of AI on the future of work'."
"Generate embeddings for my company's mission statement."
"Check my current account balance in Lingyi Wanwu."
Troubleshooting Lingyi Wanwu MCP Server with Vercel AI SDK
Common issues when connecting Lingyi Wanwu to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLingyi Wanwu + Vercel AI SDK FAQ
Common questions about integrating Lingyi Wanwu 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 Lingyi Wanwu 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 Lingyi Wanwu to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.