Extensiv 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 Extensiv 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="Extensiv Assistant",
instructions=(
"You help users interact with Extensiv. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Extensiv"
)
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 Extensiv MCP Server
Connect your Extensiv (formerly Skubana) account to any AI agent and take full control of your omnichannel e-commerce operations and inventory management through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Extensiv through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Extensiv, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Order Orchestration — List and filter omnichannel orders to retrieve order numbers, statuses, channel mappings, and line items natively
- Inventory Auditing — Monitor current stock levels across all warehouses, including available, committed, on-order, and in-transit quantities
- Warehouse Management — Retrieve configurations for 3PL and in-house warehouses, identifying addresses and capability settings flawlessly
- Supply Chain Oversight — List purchase orders (POs) and track vendor shipments, expected delivery dates, and receiving statuses securely
- Product Master Data — Access core product details including SKUs, dimensions, weights, and costs to manage your catalog metadata
- Vendor & Brand Control — Manage supplier contact details, lead times, and payment terms, and list all product brands configured in the system
- Return & RMA Tracking — Monitor return merchandise authorizations with reason codes, status updates, and linked refund amounts in real-time
- Customer Intelligence — Retrieve customer profiles with shipping addresses and order history summaries to resolve inquiries limitlessly
The Extensiv 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 Extensiv to OpenAI Agents SDK via MCP
Follow these steps to integrate the Extensiv 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 Extensiv
Why Use OpenAI Agents SDK with the Extensiv MCP Server
OpenAI Agents SDK provides unique advantages when paired with Extensiv 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
Extensiv + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Extensiv MCP Server delivers measurable value.
Automated workflows: build agents that query Extensiv, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Extensiv, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Extensiv tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Extensiv to resolve tickets, look up records, and update statuses without human intervention
Extensiv MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Extensiv to OpenAI Agents SDK via MCP:
list_brands
1/brands. Returns all product brands configured in the system with brand name and description. No parameters required. List Extensiv brands
list_customers
1/customers with pagination. Returns customer profiles with name, email, phone, shipping address, and order history summary. List Extensiv customers
list_inventory
1/inventory with pagination. Returns current stock levels by warehouse and product, including available, committed, on-order, and in-transit quantities. List Extensiv inventory levels
list_orders
1/orders with pagination. Returns orders with order number, status, channel, shipping address, line items, and fulfillment tracking. Pass limit to control page size (default 100). List Extensiv/Skubana orders
list_pos
1/purchaseorders with pagination. Returns PO number, vendor, expected date, line items with SKU and quantity, and receiving status. List Extensiv purchase orders
list_products
1/products with pagination. Returns product master data including SKU, name, dimensions, weight, cost, and linked vendor information. List Extensiv products
list_rmas
1/rmas with pagination. Returns return merchandise authorizations with reason code, status, linked order, refund amount, and items being returned. List Extensiv returns (RMAs)
list_shipments
1/shipments with pagination. Returns shipment tracking details including carrier, tracking number, ship date, delivery status, and linked order references. List Extensiv shipments
list_vendors
1/vendors. Returns all configured vendors with name, contact details, lead time, currency, and payment terms. No parameters required. List Extensiv vendors/suppliers
list_warehouses
1/warehouses. Returns all configured 3PL and in-house warehouses with name, address, type, and capability settings. No parameters required. List Extensiv warehouses
Example Prompts for Extensiv in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Extensiv immediately.
"List the last 5 orders from my Shopify channel"
"What is the available stock for SKU 'TSHIRT-BLU-L' at the Main Warehouse?"
"Show me the status of purchase order PO-999"
Troubleshooting Extensiv MCP Server with OpenAI Agents SDK
Common issues when connecting Extensiv to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Extensiv + OpenAI Agents SDK FAQ
Common questions about integrating Extensiv 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 Extensiv 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 Extensiv to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
