How to Use the Nabis MCP in Google ADK

Q: How do I configure Nabis with Google ADK?

Install the google-adk package. Initialize a McpToolset with StreamableHttpServerParameters pointing to your endpoint, then pass it to your LlmAgent.

Q: Can I restrict which Nabis tools my Google ADK agent sees?

Yes. Use the toolnames filter when initializing the toolset. This lets you expose listorders while hiding financial tools like getinvoice.

Q: Does the Nabis MCP Server support BigQuery joins?

Not directly. Your Gemini agent pulls live data via getwarehousecount and handles the comparison against your BigQuery tables in memory.

Q: Is my Nabis retailer data secure with this MCP server?

The integration touches sensitive buyer profiles via getretailer. Google Cloud's VPC controls ensure this contact information never leaks outside your defined project boundaries.

Pipe Nabis wholesale data into Gemini using Google ADK to analyze massive inventory datasets.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Nabis MCP to Google ADK

Create your Vinkius account to connect Nabis to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Nabis with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze inventory via Google ADK

The Nabis MCP server connects your cannabis distribution network to Gemini's million-token context window. Your AI client pulls entire regional stock levels using `list_inventory` and `get_warehouse_count` without chunking the data. Agents cross-reference this immediate stock data with historical trends you store in BigQuery. They evaluate thousands of SKUs at once to predict shortages before a holiday weekend.

Map regional retailers

Account management agents query your buyer network using `list_retailers` to build geographic profiles. They drill down into specific store details by calling `get_retailer` for license and contact information. Google Cloud infrastructure handles the batch execution. You run scheduled jobs where the agent pulls every active account and matches them against `list_warehouses` to calculate optimal distribution routes.

Track wholesale invoices

Agents audit your accounts receivable by executing `list_invoices` to flag overdue wholesale payments. When they find a discrepancy, they trigger `get_invoice` to inspect the exact unit costs and applied discounts. Delivery schedules also factor into these audits. The system runs `list_orders` to confirm shipment status and checks `get_days_off` to ensure billing aligns with actual delivery dates.

Setup guide

Set up Nabis MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Nabis tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Nabis_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nabis tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nabis. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Nabis now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Nabis MCP in Google ADK

Install the `google-adk` package. Initialize a `McpToolset` with `StreamableHttpServerParameters` pointing to your endpoint, then pass it to your `LlmAgent`.

Yes. Use the `tool_names` filter when initializing the toolset. This lets you expose `list_orders` while hiding financial tools like `get_invoice`.

Not directly. Your Gemini agent pulls live data via `get_warehouse_count` and handles the comparison against your BigQuery tables in memory.

The standard HTTP transport manages connection pooling. If you hit limits while looping `get_order`, implement a backoff strategy in your agent logic.

The integration touches sensitive buyer profiles via `get_retailer`. Google Cloud's VPC controls ensure this contact information never leaks outside your defined project boundaries.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript