Bring Design Handoff
to Pydantic AI
Create your Vinkius account to connect Lanhu to Pydantic AI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Lanhu Access Token
- Start managing your design projects through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Designers — automate design asset organization and manage project files through natural language.
- Frontend Developers — retrieve design metadata and layer details directly from your AI-powered development workspace.
- Product Managers — track design progress and monitor feedback across multiple projects via a unified AI interface.
- Design Ops — oversee design workflows and team collaborations without manual technical overhead.
Built-in capabilities (10)
Get board details
Get file comments
Get design file info
Get project details
List project boards
List file layers
List team members
g., from Sketch, Figma, XD) within a specific project. List project design files
List team projects
List all Lanhu teams
Why Pydantic AI?
Pydantic AI validates every Lanhu tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
- —
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Lanhu integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Lanhu connection logic from agent behavior for testable, maintainable code
Lanhu in Pydantic AI
Why run Lanhu with Vinkius?
The Lanhu connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Lanhu using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Lanhu and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Lanhu to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Lanhu for Pydantic AI
Every request between Pydantic AI and Lanhu is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I find my Lanhu Access Token?
Log in to Lanhu, go to [User Settings] → [Access Token], and generate a new token. Copy it immediately as it won't be shown again.
Can I read design layer information through the agent?
Yes. Use the list_layers tool with the design file ID. This allows your agent to retrieve the layer structure and design nodes for that specific file.
Does Lanhu support team-based organization?
Yes. You can list all your teams using the list_teams tool and then explore projects and members specifically for each team using their IDs.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Lanhu MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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