How do I track a specific shipment through the agent?

Use the 'list_shipments' tool. Your agent will pull shipment tracking details including the carrier, tracking number, ship date, and delivery status for linked orders.

Can I audit purchase orders from my suppliers via chat?

Absolutely. The 'list_pos' tool retrieves PO numbers, vendor names, expected delivery dates, and line item details, allowing you to monitor your supply chain replenishment natively.

Extensiv MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Extensiv
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 Extensiv through the 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 Extensiv "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Extensiv?"
    )
    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 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.

Pydantic AI validates every Extensiv 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

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 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 Extensiv to Pydantic AI via MCP

Follow these steps to integrate the Extensiv 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 Extensiv with type-safe schemas

Why Use Pydantic AI with the Extensiv MCP Server

Pydantic AI provides unique advantages when paired with Extensiv 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 Extensiv integration code

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

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

Extensiv + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Extensiv MCP Server delivers measurable value.

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

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

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

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

Extensiv MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Extensiv to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Extensiv + Pydantic AI FAQ

Common questions about integrating Extensiv 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 Extensiv MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.