Dutchie Plus MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Dutchie Plus as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Dutchie Plus. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Dutchie Plus?"
)
print(response)
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 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.
LlamaIndex agents combine Dutchie Plus tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Dutchie Plus MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Dutchie Plus
Why Use LlamaIndex with the Dutchie Plus MCP Server
LlamaIndex provides unique advantages when paired with Dutchie Plus through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Dutchie Plus tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Dutchie Plus tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Dutchie Plus, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Dutchie Plus tools were called, what data was returned, and how it influenced the final answer
Dutchie Plus + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Dutchie Plus MCP Server delivers measurable value.
Hybrid search: combine Dutchie Plus real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Dutchie Plus to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Dutchie Plus for fresh data
Analytical workflows: chain Dutchie Plus queries with LlamaIndex's data connectors to build multi-source analytical reports
Dutchie Plus MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Dutchie Plus to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Dutchie Plus to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDutchie Plus + LlamaIndex FAQ
Common questions about integrating Dutchie Plus MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Dutchie Plus 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 Plus to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.