Dutchie POS 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 Dutchie POS 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="Dutchie POS Assistant",
instructions=(
"You help users interact with Dutchie POS. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dutchie POS"
)
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 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Dutchie POS through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dutchie POS, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Dutchie POS to OpenAI Agents SDK via MCP
Follow these steps to integrate the Dutchie POS 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 Dutchie POS
Why Use OpenAI Agents SDK with the Dutchie POS MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dutchie POS 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
Dutchie POS + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dutchie POS MCP Server delivers measurable value.
Automated workflows: build agents that query Dutchie POS, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dutchie POS, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dutchie POS tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dutchie POS to resolve tickets, look up records, and update statuses without human intervention
Dutchie POS MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Dutchie POS to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Dutchie POS to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dutchie POS + OpenAI Agents SDK FAQ
Common questions about integrating Dutchie POS 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 Dutchie POS 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 Dutchie POS to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
