Youzan / 有赞 MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Youzan / 有赞 through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Youzan / 有赞 "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Youzan / 有赞?"
)
print(result.data)
asyncio.run(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 Youzan / 有赞 MCP Server
Empower your AI agent to orchestrate your retail business with Youzan (有赞), the dominant E-commerce and retail SaaS platform in China. By connecting Youzan to your agent, you transform complex store management and order tracking into a natural conversation. Your agent can instantly list products, retrieve order details, manage customer profiles, and even provide sales statistics without you ever needing to navigate the comprehensive Youzan Backend. Whether you are managing an online shop or a large-scale retail operation, your agent acts as a real-time retail assistant, keeping your data accurate and your sales moving.
Pydantic AI validates every Youzan / 有赞 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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.
What you can do
- Product Orchestration — List all items on sale, get detailed product information, and browse store categories.
- Order Management — List sold trades and retrieve detailed order information to track fulfillment and delivery.
- Customer CRM Control — Search and manage customer profiles, including contact details and purchase history.
- Inventory Monitoring — Retrieve stock levels and SKU information for any item in your shop.
- Sales Insights — Get high-level summaries of sales performance and product rankings.
The Youzan / 有赞 MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic 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 Youzan / 有赞 to Pydantic AI via MCP
Follow these steps to integrate the Youzan / 有赞 MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Youzan / 有赞 with type-safe schemas
Why Use Pydantic AI with the Youzan / 有赞 MCP Server
Pydantic AI provides unique advantages when paired with Youzan / 有赞 through the Model Context Protocol.
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 Youzan / 有赞 integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Youzan / 有赞 connection logic from agent behavior for testable, maintainable code
Youzan / 有赞 + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Youzan / 有赞 MCP Server delivers measurable value.
Type-safe data pipelines: query Youzan / 有赞 with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Youzan / 有赞 tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Youzan / 有赞 and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Youzan / 有赞 responses and write comprehensive agent tests
Youzan / 有赞 MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Youzan / 有赞 to Pydantic AI via MCP:
get_customer
Get customer details
get_inventory
Get item SKU inventory
get_item
Get item details
get_order
Get order details
get_sales_stats
Get sales performance stats
get_shop
Get shop information
list_categories
List item categories
list_customers
Search SCRM customers
list_items
List on-sale items
list_orders
List sold trades
Example Prompts for Youzan / 有赞 in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Youzan / 有赞 immediately.
"List all products currently on sale in my shop."
"Show me the last 5 orders from today."
"Check the inventory for item ID 12345678."
Troubleshooting Youzan / 有赞 MCP Server with Pydantic AI
Common issues when connecting Youzan / 有赞 to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiYouzan / 有赞 + Pydantic AI FAQ
Common questions about integrating Youzan / 有赞 MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Youzan / 有赞 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 Youzan / 有赞 to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
