How to Use the Dutchie Plus MCP in OpenAI Agents SDK

Q: How do I connect Dutchie Plus to the OpenAI Agents SDK?

Install openai-agents and initialize the MCP Server using your Vinkius HTTP streaming URL. Pass this server instance directly to the Agent constructor, and the SDK auto-discovers all ten tools.

Q: Can the OpenAI Agents SDK handle Dutchie Plus rate limits safely?

Yes. Set cacheToolsList=True in your SDK configuration to avoid redundant tool-discovery calls. The OpenAI dashboard traces every API call to prevent your agent from hitting Dutchie Plus rate limits.

Q: How do I search for dispensaries in a specific city?

Use searchdispensariesbycity with your target keyword. The MCP Server returns matched locations, which your agent can then query using getlocationdetails for deep operational data.

Run production-safe dispensary operations by connecting Dutchie Plus tools to your OpenAI Agents SDK with built-in guardrails.

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Connect Dutchie Plus MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dutchie Plus to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Dutchie Plus with OpenAI Agents SDK

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Track active orders with OpenAI Agents SDK

`list_enterprise_orders` pulls live transactional data straight into your agent's execution loop. Your system monitors active orders across multiple locations without manual polling or custom webhook handlers. OpenAI's built-in guardrails validate each payload before your code executes. This prevents raw database writes from corrupting order states or hitting Dutchie Plus rate limits during high-volume dispensary hours.

Multi-agent menu audits using this MCP Server

`list_online_menus` exposes current product availability and pricing structures directly to specialized agents. Set up one agent to check catalog accuracy and another to flag missing brand details. Handoff patterns in the SDK let these agents pass data back and forth. If a menu item lacks a brand, the audit agent hands the task to a brand-resolution agent to query `list_synced_brands` and fix it.

Direct location lookups and metadata checks

`list_dispensary_locations` retrieves every active storefront tied to your enterprise account structure. Your agent uses this list to route incoming orders and verify local operation hours. Running `get_dutchie_plus_metadata` alongside these location queries gives you immediate visibility into API limits. You avoid unexpected downtime by letting the SDK track rate limits on the OpenAI dashboard.

Setup guide

Set up Dutchie Plus MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Dutchie Plus tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Dutchie Plus tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Dutchie Plus tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Dutchie Plus Agent",
            instructions="You have access to Dutchie Plus tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Dutchie Plus MCP in OpenAI Agents SDK

Install `openai-agents` and initialize the MCP Server using your Vinkius HTTP streaming URL. Pass this server instance directly to the Agent constructor, and the SDK auto-discovers all ten tools.

Yes. Set `cacheToolsList=True` in your SDK configuration to avoid redundant tool-discovery calls. The OpenAI dashboard traces every API call to prevent your agent from hitting Dutchie Plus rate limits.

You use native SDK handoffs to transfer execution contexts between agents using this MCP Server integration. One agent pulls orders via `list_pending_fulfillment_orders`, then hands the payload to a fulfillment agent for processing.

Use `search_dispensaries_by_city` with your target keyword. The MCP Server returns matched locations, which your agent can then query using `get_location_details` for deep operational data.

Order details and menu configurations remain isolated within Vinkius's ephemeral V8 sandboxes. Your API keys are encrypted at rest, and no customer-identifying data is stored or used for model training.

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