2,500+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to VTEX Catalog through the Vinkius — pass the Edge URL in the `mcps` parameter and every VTEX Catalog tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="VTEX Catalog Specialist",
    goal="Help users interact with VTEX Catalog effectively",
    backstory=(
        "You are an expert at leveraging VTEX Catalog tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in VTEX Catalog "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
VTEX Catalog
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 VTEX Catalog MCP Server

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

When paired with CrewAI, VTEX Catalog becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call VTEX Catalog tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the VTEX Catalog MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Customize the agent

Adjust the role, goal, and backstory to fit your use case

04

Run the crew

Run python crew.py — CrewAI auto-discovers 7 tools from VTEX Catalog

Why Use CrewAI with the VTEX Catalog MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with VTEX Catalog through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

VTEX Catalog + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries VTEX Catalog for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries VTEX Catalog, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain VTEX Catalog tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries VTEX Catalog against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

VTEX Catalog MCP Tools for CrewAI (7)

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

01

get_brand

Get details of a brand

02

get_category

Get details of a category

03

get_product

Get full details of a specific product

04

get_sku

Get details of a specific SKU

05

manage_stock

Update the available quantity of a SKU

06

save_product

Create or update a product

07

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 CrewAI

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

01

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

02

"Update the stock of SKU 12345 to 150 units"

03

"Show me the details of category 5678"

Troubleshooting VTEX Catalog MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

VTEX Catalog + CrewAI FAQ

Common questions about integrating VTEX Catalog MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Connect VTEX Catalog to CrewAI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.