Lanhu 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 Lanhu through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Lanhu, 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 Lanhu MCP Server
Empower your AI agent to orchestrate your product design workflow with Lanhu (蓝湖), the premier design collaboration platform for high-performance teams. By connecting Lanhu to your agent, you transform complex design handoffs and project coordination into a natural conversation. Your agent can instantly list your projects, retrieve design file information, audit layer structures, and even browse team comments without you needing to navigate the web interface. Whether you are managing a mobile app design or a large-scale enterprise system, your agent acts as a real-time design coordinator, keeping your assets organized and your production moving.
The Vercel AI SDK gives every Lanhu tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Project Orchestration — List all accessible design projects and files across your Lanhu workspace.
- Design Auditing — Retrieve detailed metadata about design files, including layers and node structures.
- Collaboration Monitoring — Browse file comments and discussions to stay informed about team feedback.
- Board Management — Access design boards to understand project organization and milestones.
- Team Coordination — List teams and members to manage assignments and participation effectively.
The Lanhu 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 Lanhu to Vercel AI SDK via MCP
Follow these steps to integrate the Lanhu 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 Lanhu and passes them to the LLM
Why Use Vercel AI SDK with the Lanhu MCP Server
Vercel AI SDK provides unique advantages when paired with Lanhu 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 Lanhu integration everywhere
Built-in streaming UI primitives let you display Lanhu 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
Lanhu + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lanhu MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lanhu in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lanhu tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lanhu capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lanhu through natural language queries
Lanhu MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Lanhu to Vercel AI SDK via MCP:
get_board
Get board details
get_comments
Get file comments
get_file
Get design file info
get_project
Get project details
list_boards
List project boards
list_layers
List file layers
list_members
List team members
list_project_files
g., from Sketch, Figma, XD) within a specific project. List project design files
list_team_projects
List team projects
list_teams
List all Lanhu teams
Example Prompts for Lanhu in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lanhu immediately.
"List all my design projects on Lanhu."
"Show me the comments for design file 'checkout-v1'."
"List the layers for file 'homepage-main'."
Troubleshooting Lanhu MCP Server with Vercel AI SDK
Common issues when connecting Lanhu to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLanhu + Vercel AI SDK FAQ
Common questions about integrating Lanhu 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 Lanhu 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 Lanhu to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.