How do I get Duoplane API credentials?

Log in to your Duoplane dashboard, navigate to **Settings > API**, and you can generate or retrieve your unique API Key. For the API Password, Duoplane typically uses 'X'. You will also need your account subdomain.

Can the agent update inventory levels?

This integration currently focuses on listing and auditing orders, POs, vendors, and products. Updating inventory levels or product details should be managed via the Duoplane portal or your e-commerce platform.

Does the integration show vendor tracking info?

Yes, you can use the get_purchase_order_details tool to retrieve tracking numbers and fulfillment status for orders handled by your vendors.

Duoplane MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Duoplane
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Duoplane 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 Duoplane "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Duoplane?"
    )
    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 Duoplane MCP Server

Integrate Duoplane, the leading multi-vendor e-commerce automation platform, directly into your AI workflow. Manage your customer orders across multiple storefronts, track purchase orders sent to vendors, monitor vendor profiles and connection statuses, and oversee your synchronized product catalog using natural language.

Pydantic AI validates every Duoplane tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

Order Oversight — List and retrieve detailed information and status for all your customer orders and their associated fulfillment stages.
Purchase Order Intelligence — Monitor purchase orders sent to vendors, including tracking numbers and real-time fulfillment history.
Vendor Management — Access and monitor all drop-ship and wholesale vendors, resolving connection statuses and order routing settings.
Inventory Auditing — Retrieve high-level summaries of synchronized products, vendor activity, and inventory counts across your organization.

The Duoplane MCP Server exposes 11 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 Duoplane to Pydantic AI via MCP

Follow these steps to integrate the Duoplane 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 11 tools from Duoplane with type-safe schemas

Why Use Pydantic AI with the Duoplane MCP Server

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

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

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

Duoplane + Pydantic AI Use Cases

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

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

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

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

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

Duoplane MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Duoplane to Pydantic AI via MCP:

get_duoplane_account_metadata

Retrieve metadata for the current Duoplane subdomain

get_order_details

Get detailed information and status for a specific customer order

get_purchase_order_details

Get detailed information for a specific purchase order

get_vendor_profile

Get detailed profile and configuration for a specific vendor

list_active_vendors

List all drop-ship and wholesale vendors registered in your Duoplane account

list_ecommerce_orders

List all customer orders in your Duoplane account

list_purchase_orders

List all purchase orders (POs) sent to vendors

list_synced_products

List all products synchronized across your vendors and storefronts

list_unfulfilled_purchase_orders

Identify purchase orders that are currently awaiting fulfillment by vendors

quick_vendor_inventory_audit

Retrieve a high-level summary of vendor activity and product counts

search_orders_by_reference

Search for orders using a keyword or reference identifier

Example Prompts for Duoplane in Pydantic AI

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

"List all unfulfilled purchase orders."

"Show me the details for customer order '12345'."

"List all active vendors and their status."

Troubleshooting Duoplane MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Duoplane + Pydantic AI FAQ

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