How do I get my VTEX API credentials?

Log in to your VTEX Admin, go to **Account Settings → Application Keys**, and create a new App Key. You'll receive an App Key and App Token pair. You also need your Account Name (the subdomain you use to access the VTEX Admin, e.g., 'mystore'). Ensure the key has **Catalog** and **Logistics** read/write permissions. No code, no SDK — just connect and go.

Can my agent update stock levels without opening the VTEX Admin?

Yes! Use the 'manage_stock' tool with a SKU ID and the new quantity. Your agent updates the inventory balance in real-time through the VTEX Logistics API — perfect for warehouse teams receiving shipments who need to update stock counts without navigating to the Inventory module.

How does product search work with categories and brands?

The 'search_products' tool supports three search modes: full-text (e.g., 'Nike Running Shoes'), by brand ID (e.g., 'b/1234'), or by category ID (e.g., 'c/5678'). This means your agent can quickly audit all products under a specific brand or explore an entire product category — no manual catalog browsing required.

Can I create new products and manage my entire catalog via AI?

Absolutely. The 'save_product' tool lets your agent create or update products by sending a structured JSON body. Combined with 'get_category' and 'get_brand' for classification, your agent can handle the full product lifecycle — from initial creation to SKU-level stock adjustments — ideal for merchandising teams managing large VTEX catalogs with thousands of products.

VTEX Catalog MCP Server for Google ADK 7 tools — connect in under 2 minutes

Name: VTEX Catalog
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add VTEX Catalog as an MCP tool provider through the 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="vtex_catalog_agent",
    instruction=(
        "You help users interact with VTEX Catalog "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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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 VTEX Catalog MCP Server

Connect your VTEX Catalog API to any AI agent and manage your entire product catalog through natural conversation.

Google ADK natively supports VTEX Catalog as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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

Product Search — Run full-text searches across your product catalog by name, brand ID, or category ID. Returns complete product listings with pricing, availability, and images.
Product Details — Retrieve the full specification sheet of any product by ID, including all associated SKUs, categories, dimensions, and metadata.
Product Management — Create or update products directly from your agent. Send structured product data and have it reflected in your VTEX catalog immediately.
SKU Inspection — Look up specific SKUs with detailed attributes like price, weight, dimensions, EAN, and stock status.
Stock Management — Update the available quantity of any SKU across your logistics warehouses. Adjust inventory in real-time without opening the VTEX Admin.
Category & Brand Lookup — Explore your category tree and brand directory to understand how your catalog is organized and ensure correct product classification.

The VTEX Catalog MCP Server exposes 7 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 VTEX Catalog to Google ADK via MCP

Follow these steps to integrate the VTEX Catalog 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 7 tools from VTEX Catalog via MCP

Why Use Google ADK with the VTEX Catalog MCP Server

Google ADK provides unique advantages when paired with VTEX Catalog 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 VTEX Catalog

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 VTEX Catalog tools with BigQuery, Vertex AI, and Cloud Functions

VTEX Catalog + Google ADK Use Cases

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

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

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

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

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

VTEX Catalog MCP Tools for Google ADK (7)

These 7 tools become available when you connect VTEX Catalog to Google ADK via MCP:

get_brand

Get details of a brand

get_category

Get details of a category

get_product

Get full details of a specific product

get_sku

Get details of a specific SKU

manage_stock

Update the available quantity of a SKU

save_product

Create or update a product

search_products

Examples: "Coca Cola", "b/1234" (brand ID), "c/5678" (category ID). Search for products by text, brand, or category

Example Prompts for VTEX Catalog in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with VTEX Catalog immediately.

"Search for 'Nike Air Max' in my VTEX catalog"

"Update the stock of SKU 12345 to 150 units"

"Show me the details of category 5678"

Troubleshooting VTEX Catalog MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

VTEX Catalog + Google ADK FAQ

Common questions about integrating VTEX Catalog 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.