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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Nabis
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Nabis as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 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 Nabis. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Nabis?"
    )
    print(response)

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 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.

LlamaIndex agents combine Nabis 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

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 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 Nabis to LlamaIndex via MCP

Follow these steps to integrate the Nabis 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 Nabis

Why Use LlamaIndex with the Nabis MCP Server

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

Data-first architecture: LlamaIndex agents combine Nabis tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Nabis tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Nabis, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Nabis tools were called, what data was returned, and how it influenced the final answer

Nabis + LlamaIndex Use Cases

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

Hybrid search: combine Nabis real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Nabis 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 Nabis for fresh data

Analytical workflows: chain Nabis queries with LlamaIndex's data connectors to build multi-source analytical reports

Nabis MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Nabis to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Nabis + LlamaIndex FAQ

Common questions about integrating Nabis MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.