Lanhu MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Lanhu through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"lanhu": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Lanhu Agent",
instructions:
"You help users interact with Lanhu " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Lanhu?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Lanhu tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Lanhu MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Lanhu via MCP
Why Use Mastra AI with the Lanhu MCP Server
Mastra AI provides unique advantages when paired with Lanhu through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Lanhu without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Lanhu tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Lanhu + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Lanhu MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Lanhu, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Lanhu as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Lanhu on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Lanhu tools alongside other MCP servers
Lanhu MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Lanhu to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Lanhu to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLanhu + Mastra AI FAQ
Common questions about integrating Lanhu MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.