Weimob / 微盟 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Weimob / 微盟 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Weimob / 微盟 Assistant",
instructions=(
"You help users interact with Weimob / 微盟. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Weimob / 微盟"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Weimob / 微盟 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Weimob / 微盟, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 Weimob / 微盟 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Weimob / 微盟 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Weimob / 微盟
Why Use OpenAI Agents SDK with the Weimob / 微盟 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Weimob / 微盟 through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Weimob / 微盟 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Weimob / 微盟 MCP Server delivers measurable value.
Automated workflows: build agents that query Weimob / 微盟, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Weimob / 微盟, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Weimob / 微盟 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Weimob / 微盟 to resolve tickets, look up records, and update statuses without human intervention
Weimob / 微盟 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Weimob / 微盟 to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Weimob / 微盟 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Weimob / 微盟 + OpenAI Agents SDK FAQ
Common questions about integrating Weimob / 微盟 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Weimob / 微盟 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 Weimob / 微盟 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
