How do I get a Nabis Access Token?

Log in to the Nabis Platform, navigate to the Developer settings, and generate a new V2 Access Token.

Which markets are supported?

The API supports all active Nabis markets, including California and New York.

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

Name: Nabis
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Nabis 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({
        "nabis": {
            "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 Nabis, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Nabis MCP Server

Connect your Nabis account to empower your AI agents with wholesale and distribution capabilities. This server interfaces with the Nabis Platform V2 API for real-time visibility into the cannabis supply chain.

LangChain's ecosystem of 500+ components combines seamlessly with Nabis 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

Order Management — List and inspect wholesale orders across markets like CA and NY
Inventory Visibility — Track stock levels across different warehouses in real-time
Retailer Insights — Access detailed information about retailers and their license status
Financial Monitoring — Track invoices, aging reports, and payment statuses
Logistics Coordination — Stay updated on warehouse locations and delivery schedules

The Nabis 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 Nabis to LangChain via MCP

Follow these steps to integrate the Nabis 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 10 tools from Nabis via MCP

Why Use LangChain with the Nabis MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Nabis 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 Nabis queries for multi-turn workflows

Nabis + LangChain Use Cases

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

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

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

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

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

Nabis MCP Tools for LangChain (10)

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

get_days_off

Get Nabis days off

get_invoice

Get invoice details

get_order

Get details for a specific order

get_retailer

Get retailer details

get_warehouse_count

Get warehouse stock counts

list_inventory

List inventory quantities

list_invoices

List invoices

list_orders

List Nabis wholesale orders

list_retailers

List retailers

list_warehouses

List warehouses

Example Prompts for Nabis in LangChain

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

"List all pending Nabis orders."

"What is the stock level for product 'Blue Dream' in the LA warehouse?"

Troubleshooting Nabis MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Nabis + LangChain FAQ

Common questions about integrating Nabis 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.