How do I get a Dutchie POS API Key?

Log in to your Dutchie POS (Greenbits or LeafLogix) back office, navigate to the **Integrations** or **API** section in your settings, and you can generate your unique API Key from there.

Can the agent update product pricing?

This integration currently focuses on listing and auditing products, inventory, and orders. Modifying prices or inventory quantities should be managed via the Dutchie POS back office.

Does it support lab results tracking?

Yes, you can use the get_product_details tool to retrieve technical metadata which includes batch-level lab result data stored in Dutchie POS.

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

Name: Dutchie POS
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 Dutchie POS 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 Dutchie POS "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Dutchie POS?"
    )
    print(result.data)

asyncio.run(main())

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About Dutchie POS MCP Server

Integrate Dutchie POS (formerly Greenbits/LeafLogix), the leading retail platform for cannabis dispensaries, directly into your AI workflow. Manage your product catalog and SKUs, track real-time inventory levels and batches, monitor retail orders and fulfillment, and oversee customer loyalty using natural language.

Pydantic AI validates every Dutchie POS 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

Catalog Oversight — List and retrieve detailed information and SKUs for all your retail products and categories.
Inventory Intelligence — Monitor real-time inventory levels, lot numbers, batch details, and low-stock indicators across your location.
Order Management — Track retail orders, transaction details, payment types, and current fulfillment statuses.
Retail Auditing — Retrieve high-level summaries of sales activity, customer volumes, and organizational metadata instantly.

The Dutchie POS 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 Dutchie POS to Pydantic AI via MCP

Follow these steps to integrate the Dutchie POS 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 Dutchie POS with type-safe schemas

Why Use Pydantic AI with the Dutchie POS MCP Server

Pydantic AI provides unique advantages when paired with Dutchie POS 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 Dutchie POS integration code

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

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

Dutchie POS + Pydantic AI Use Cases

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

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

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

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

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

Dutchie POS MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Dutchie POS to Pydantic AI via MCP:

get_dutchie_pos_metadata

Retrieve metadata and limits for your Dutchie POS account

get_order_details

Get detailed information for a specific order

get_product_details

Get detailed settings and information for a specific product

list_current_inventory

List all inventory lots and their quantities

list_low_stock_inventory

Identify inventory items that are below a certain quantity threshold (mock logic)

list_pos_customers

List all customers registered in your POS organization

list_retail_orders

List all recent retail orders in Dutchie POS

list_retail_products

List all products in your Dutchie POS catalog

quick_pos_sales_audit

Retrieve a high-level summary of recent sales activity

search_catalog_products

Search for products using a name keyword or SKU

Example Prompts for Dutchie POS in Pydantic AI

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

"List all products in the 'Flower' category."

"Show me our low stock inventory items."

"Check the status of retail order 'ORD-5544'."

Troubleshooting Dutchie POS MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Dutchie POS + Pydantic AI FAQ

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