How do I update the inventory level for a product?

Use the `update_product_inventory` tool with the unique product ID and the new total quantity. This will update the quantity field in LeafLink.

Can I fulfill an order using the agent?

Yes, use the `update_order_status` tool with the order number and set the action to 'fulfill' to transition the order status.

Is it possible to see my buyer list?

Absolutely. The `list_wholesale_customers` tool retrieves all organizational buyers and dispensary accounts registered in your LeafLink network.

LeafLink MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: LeafLink
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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({
        "leaflink": {
            "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 LeafLink, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 LeafLink MCP Server

Connect your LeafLink account to any AI agent to automate your cannabis wholesale operations. This MCP server enables your agent to manage product listings, monitor real-time inventory, and track received orders directly from natural language.

LangChain's ecosystem of 500+ components combines seamlessly with LeafLink through native MCP adapters. Connect 9 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

Order Oversight — List and retrieve detailed information for all wholesale orders received from buyers
Inventory Visibility — Get real-time stock levels and availability for your entire product catalog
Catalog Management — List, retrieve, create, and update products including pricing and metadata
Status Transitions — Move orders through their lifecycle (accept, fulfill, cancel) via simple commands
Partner Tracking — List registered brands and buyers to maintain clear visibility of your wholesale network

The LeafLink MCP Server exposes 9 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 LeafLink to LangChain via MCP

Follow these steps to integrate the LeafLink MCP Server with LangChain.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from LeafLink via MCP

Why Use LangChain with the LeafLink MCP Server

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

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

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

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

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

LeafLink + LangChain Use Cases

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

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

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

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

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

LeafLink MCP Tools for LangChain (9)

These 9 tools become available when you connect LeafLink to LangChain via MCP:

create_new_product

Requires a JSON body with product details. Add a new product to your wholesale catalog

get_order_details

Get details for a specific order

get_product_details

Get details for a specific product

list_received_orders

List all wholesale orders received

list_wholesale_brands

List all brands in your account

list_wholesale_customers

List all buyers and customers

list_wholesale_products

List all products available in your inventory

update_order_status

g., accept, fulfill, cancel, reject). Transition an order through its lifecycle

update_product_inventory

Update inventory level for a specific product

Example Prompts for LeafLink in LangChain

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

"Show me all active wholesale orders in LeafLink."

"Check the inventory level for 'Sour Diesel Flower 3.5g'."

"Accept the order #ORD-101."

Troubleshooting LeafLink MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

LeafLink + LangChain FAQ

Common questions about integrating LeafLink MCP Server with LangChain.

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.

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.