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 Google ADK 10 tools — connect in under 2 minutes

Name: Nabis
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Nabis as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="nabis_agent",
    instruction=(
        "You help users interact with Nabis "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Nabis as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Nabis MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Nabis via MCP

Why Use Google ADK with the Nabis MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Nabis

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Nabis tools with BigQuery, Vertex AI, and Cloud Functions

Nabis + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Nabis and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Nabis tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Nabis regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Nabis

Nabis MCP Tools for Google ADK (10)

These 10 tools become available when you connect Nabis to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Nabis + Google ADK FAQ

Common questions about integrating Nabis MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.