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Dutchie Plus MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Dutchie Plus through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "dutchie-plus": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Dutchie Plus, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Dutchie Plus
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Plus MCP Server

Integrate Dutchie Plus, the enterprise-grade e-commerce platform for cannabis retailers, directly into your AI workflow. Manage your multi-location dispensary operations, track online menus and product categories, monitor enterprise-wide online orders and fulfillment, and oversee synchronized brands using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Dutchie Plus through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Location Oversight — List and retrieve detailed configuration and real-time status for all your dispensary locations.
  • Menu Intelligence — Access and monitor online menus, categories, and preview URLs for every location in your enterprise.
  • Order Management — Track online orders, payment statuses, and fulfillment history for specific locations or across the entire organization.
  • Brand Synchronization — List and retrieve all product brands synchronized in your enterprise account, including associated product counts.

The Dutchie Plus MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Plus to LangChain via MCP

Follow these steps to integrate the Dutchie Plus MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Dutchie Plus via MCP

Why Use LangChain with the Dutchie Plus MCP Server

LangChain provides unique advantages when paired with Dutchie Plus through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Dutchie Plus MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Dutchie Plus queries for multi-turn workflows

Dutchie Plus + LangChain Use Cases

Practical scenarios where LangChain combined with the Dutchie Plus MCP Server delivers measurable value.

01

RAG with live data: combine Dutchie Plus tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Dutchie Plus, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Dutchie Plus tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Dutchie Plus tool call, measure latency, and optimize your agent's performance

Dutchie Plus MCP Tools for LangChain (10)

These 10 tools become available when you connect Dutchie Plus to LangChain via MCP:

01

get_dutchie_plus_metadata

Retrieve metadata and limits for your Dutchie Plus account

02

get_location_details

Get detailed settings and information for a specific dispensary location

03

get_order_details

Get detailed information for a specific online order

04

list_dispensary_locations

List all dispensary locations managed in your Dutchie Plus account

05

list_enterprise_orders

List all recent online orders for a specific dispensary location

06

list_online_menus

List all online menus configured for a specific location

07

list_pending_fulfillment_orders

Identify online orders that are currently awaiting fulfillment or ready for pickup

08

list_synced_brands

List all product brands synchronized in your enterprise account

09

quick_enterprise_volume_audit

Retrieve a high-level summary of order activity across multiple locations (mock logic)

10

search_dispensaries_by_city

Search for dispensary locations using a city or name keyword

Example Prompts for Dutchie Plus in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Dutchie Plus immediately.

01

"List all our dispensary locations."

02

"Show me the pending online orders for location 'LOC-12345'."

03

"List all synchronized brands in our account."

Troubleshooting Dutchie Plus MCP Server with LangChain

Common issues when connecting Dutchie Plus to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dutchie Plus + LangChain FAQ

Common questions about integrating Dutchie Plus MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Dutchie Plus to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.