How to Use the Dutchie Plus MCP in LangChain

Q: How do I handle Dutchie Plus rate limits inside a loop?

Use your framework retry helpers combined with getdutchieplusmetadata to monitor your current API thresholds. Your agent can read the rate limits dynamically and adjust its execution speed before hitting a hard block.

Run multi-step dispensary operations chains with LangChain and Dutchie Plus to manage orders and menus without writing boilerplate glue code.

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Connect Dutchie Plus MCP to LangChain

Create your Vinkius account to connect Dutchie Plus to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate order routing with LangChain

Here's the deal. You don't need to write custom polling loops to track cannabis order queues. Your LangChain agent can call `list_pending_fulfillment_orders` to spot incoming orders, then immediately feed that exact payload into `get_order_details` to check the line items. This workflow runs with full observability inside LangSmith. Every time your agent hops from checking the queue to querying `get_location_details`, you see the exact token usage and latency. No black boxes.

Sync menus across locations dynamically

This MCP Server lets your agent run `list_dispensary_locations` to map your active storefronts, then loop through `list_online_menus` to check live items. It keeps your digital menus matching physical stock. The output feeds right into your LangChain database integrations. You can build a chain that compares what's on the Dutchie Plus menu with your internal warehouse database, flagging discrepancies before customers notice.

Run multi-location audits on autopilot

Stop running manual scripts to check how your retail locations are performing. Your agent uses `quick_enterprise_volume_audit` to grab a high-level snapshot of order volumes across your entire footprint in one go. If a specific location shows a sudden drop in volume, the LangChain chain branches. It uses `search_dispensaries_by_city` to pinpoint the store, then queries `list_enterprise_orders` to inspect the transaction log.

Setup guide

Set up Dutchie Plus MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Dutchie Plus tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "dutchie-plus-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Dutchie Plus transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dutchie Plus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Dutchie Plus MCP in LangChain

Use your framework retry helpers combined with `get_dutchie_plus_metadata` to monitor your current API thresholds. Your agent can read the rate limits dynamically and adjust its execution speed before hitting a hard block.

Yes, you can register this MCP Server alongside database tools inside a MultiServerMCPClient. The agent decides whether to pull menu details via `list_online_menus` or query your localized PostgreSQL instance based on the prompt.

LangSmith logs every single tool execution, showing the raw input sent to `list_synced_brands` and the exact JSON returned. You can pinpoint latency spikes or payload errors in your multi-step cannabis retail chains instantly.

Install langchain-mcp-adapters, then configure the MultiServerMCPClient with your Vinkius endpoint. Call client.get_tools() to expose the 10 dispensary management tools to your LangChain agent.

Your raw order metadata and customer details stay inside Vinkius's secure, ephemeral V8 Isolate Sandbox. LangChain only receives the clean JSON outputs from tools like `get_order_details` over encrypted transport, ensuring no cannabis retail PII is exposed to public LLMs.

Use it with your favorite AI tools

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