How do I find my Weimob Client ID and Secret?

Log in to the [Weimob Cloud Console](https://cloud.weimob.com/), create an application, and you will find your Client ID (App Key) and Client Secret in the application management section.

Can I check stock levels for specific SKUs?

Yes. Use the `get_inventory` tool with the SKU ID. It will return the current stock level for that specific product variant.

Does this server support multi-shop management?

Yes, as long as your Client ID and Secret have authorized access to multiple shops within your Weimob organization, your agent can manage them through the unified API interface.

Weimob / 微盟 MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Weimob / 微盟
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Weimob / 微盟 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Weimob / 微盟 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Weimob / 微盟?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Weimob / 微盟 MCP Server

Empower your AI agent to orchestrate your retail business with Weimob (微盟), the dominant E-commerce and marketing SaaS platform in China. By connecting Weimob to your agent, you transform complex shop management and order tracking into a natural conversation. Your agent can instantly list your goods, retrieve detailed order information, manage customer profiles, and even provide sales statistics without you needing to navigate the comprehensive Weimob Cloud interface. Whether you are managing a WeChat mini-program 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 Weimob / 微盟 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.

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 member profiles, including contact details and purchase history.
Inventory Monitoring — Retrieve stock levels for any SKU in your shop to ensure product availability.
Sales Insights — Get high-level summaries of sales performance and performance statistics.

The Weimob / 微盟 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 Weimob / 微盟 to Pydantic AI via MCP

Follow these steps to integrate the Weimob / 微盟 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 Weimob / 微盟 with type-safe schemas

Why Use Pydantic AI with the Weimob / 微盟 MCP Server

Pydantic AI provides unique advantages when paired with Weimob / 微盟 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 Weimob / 微盟 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Weimob / 微盟 connection logic from agent behavior for testable, maintainable code

Weimob / 微盟 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Weimob / 微盟 MCP Server delivers measurable value.

Type-safe data pipelines: query Weimob / 微盟 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Weimob / 微盟 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Weimob / 微盟 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Weimob / 微盟 responses and write comprehensive agent tests

Weimob / 微盟 MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Weimob / 微盟 to Pydantic AI via MCP:

get_customer

Get customer details

get_goods_detail

Get product details

get_inventory

Get SKU inventory

get_order

Get order details

get_sales_stats

Get sales statistics

get_shop_info

Get Weimob shop information

list_categories

List product categories

list_customers

List shop customers

list_goods

List shop products

list_orders

List shop orders

Example Prompts for Weimob / 微盟 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Weimob / 微盟 immediately.

"List all products currently on sale in my Weimob shop."

"Show me the last 5 orders from today."

"Get sales statistics for the last 7 days."

Troubleshooting Weimob / 微盟 MCP Server with Pydantic AI

Common issues when connecting Weimob / 微盟 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Weimob / 微盟 + Pydantic AI FAQ

Common questions about integrating Weimob / 微盟 MCP Server with Pydantic AI.

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 Weimob / 微盟 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.