Can I check the stock level of a specific SKU via AI?

Yes! Use the `list_inventory_products` tool to see your catalog, or `get_product_details` with a specific Product ID to see variant stock levels.

How do I see the latest shipping updates?

Run the `list_shipments` query. The agent will retrieve a history of recent shipments, allowing you to monitor fulfillment progress directly from the conversation.

Is it possible to create a manual order via AI?

Absolutely. Use the `create_manual_order` action. You'll need to provide the customer details and an array of line items in JSON format to initiate the order.

INSTANT PLUG AND PLAY

Veeqo MCP Server for CrewAIGive CrewAI instant access to 7 tools to Create Manual Order, Get Order Details, Get Product Details, and more

Name: Veeqo
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 7 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Veeqo app connector for CrewAI is a standout in the Ecommerce category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Veeqo Specialist",
    goal="Help users interact with Veeqo effectively",
    backstory=(
        "You are an expert at leveraging Veeqo 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 Veeqo "
        "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)

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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 Veeqo MCP Server

Connect your Veeqo account to any AI agent and simplify how you manage your multi-channel retail, inventory levels, and shipping workflows through natural conversation.

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

What you can do

Order Management — List all sales orders, retrieve line-item details, and create manual orders for specific customers.
Inventory Control — Query your product catalog and monitor real-time stock levels across all your channels.
Customer Directory — List and inspect customer data associated with your orders to maintain your CRM.
Shipping Monitoring — Track shipments and list fulfillment history to stay on top of your logistics.
SKU Insights — Fetch detailed metadata and variant status for any product in your inventory.

The Veeqo 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.

All 7 Veeqo tools available for CrewAI

When CrewAI connects to Veeqo through Vinkius, your AI agent gets direct access to every tool listed below — spanning order-fulfillment, multi-channel-retail, stock-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_manual_order

Create a new order

get_order_details

Get details for a specific order

get_product_details

Get details for a specific product

list_customers

List Veeqo customers

list_inventory_products

List products

list_orders

List Veeqo orders

list_shipments

List shipments

Connect Veeqo to CrewAI via MCP

Follow these steps to wire Veeqo into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

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

Run the crew

Run python crew.py. CrewAI auto-discovers 7 tools from Veeqo

Why Use CrewAI with the Veeqo MCP Server

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

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

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

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

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

Veeqo + CrewAI Use Cases

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

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

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

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

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

Example Prompts for Veeqo in CrewAI

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

"List all active orders in my Veeqo account."

"Check the current stock for 'Blue T-Shirt' in the inventory."

"Show me the last 3 shipments and their tracking numbers."

Troubleshooting Veeqo MCP Server with CrewAI

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

MCP tools not discovered

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

Agent not using tools

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

Timeout errors

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

Rate limiting or 429 errors

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

Veeqo + CrewAI FAQ

Common questions about integrating Veeqo MCP Server with CrewAI.

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.

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.

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.

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.

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.