How do I get a Dutchie Plus API Key?

Log in to your Dutchie Plus enterprise dashboard, navigate to the **API** or **Integrations** section in your enterprise settings, and you can generate your unique API Key from there.

Can the agent manage inventory levels?

Dutchie Plus primarily manages the online e-commerce layer. Inventory levels are typically managed in the underlying POS (like Dutchie POS). This integration focuses on menus and online orders.

Does it support multi-location reporting?

Yes, you can use the list_dispensary_locations tool to see all sites and then query orders or menus for any specific location in your network.

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

Name: Dutchie Plus
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Dutchie Plus through Vinkius, pass the Edge URL in the `mcps` parameter and every Dutchie Plus tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Dutchie Plus Specialist",
    goal="Help users interact with Dutchie Plus effectively",
    backstory=(
        "You are an expert at leveraging Dutchie Plus tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Dutchie Plus "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Dutchie Plus becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Dutchie Plus tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Dutchie Plus

Why Use CrewAI with the Dutchie Plus MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Dutchie Plus through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Dutchie Plus + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Dutchie Plus for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Dutchie Plus, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Dutchie Plus tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Dutchie Plus against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Dutchie Plus MCP Tools for CrewAI (10)

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

get_dutchie_plus_metadata

Retrieve metadata and limits for your Dutchie Plus account

get_location_details

Get detailed settings and information for a specific dispensary location

get_order_details

Get detailed information for a specific online order

list_dispensary_locations

List all dispensary locations managed in your Dutchie Plus account

list_enterprise_orders

List all recent online orders for a specific dispensary location

list_online_menus

List all online menus configured for a specific location

list_pending_fulfillment_orders

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

list_synced_brands

List all product brands synchronized in your enterprise account

quick_enterprise_volume_audit

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

search_dispensaries_by_city

Search for dispensary locations using a city or name keyword

Example Prompts for Dutchie Plus in CrewAI

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

"List all our dispensary locations."

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

"List all synchronized brands in our account."

Troubleshooting Dutchie Plus MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Dutchie Plus + CrewAI FAQ

Common questions about integrating Dutchie Plus MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.