Moova MCP Server for CrewAI 14 tools — connect in under 2 minutes
Connect your CrewAI agents to Moova through Vinkius, pass the Edge URL in the `mcps` parameter and every Moova tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Moova Specialist",
goal="Help users interact with Moova effectively",
backstory=(
"You are an expert at leveraging Moova 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 Moova "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 14 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Moova MCP Server
Connect your Moova B2B logistics account to any AI agent and orchestrate your entire delivery operation through natural conversation.
When paired with CrewAI, Moova becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Moova 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
- Shipment Management — Create, update, and cancel delivery orders with full origin/destination address details and contact information
- Real-time Tracking — Follow every shipment through GPS-powered tracking events including carrier handoffs, delivery attempts, and proof of delivery
- Smart Quoting — Get instant shipping cost estimates between any two addresses using Moova's intelligent carrier routing engine
- Label Generation — Download printable shipping labels with barcodes and QR codes for any registered shipment
- Coverage Intelligence — Query available delivery zones across Argentina and Latin America before committing to an order
- Webhook Automation — Configure real-time notifications for shipment status changes to keep your systems synchronized
The Moova MCP Server exposes 14 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 Moova to CrewAI via MCP
Follow these steps to integrate the Moova MCP Server with CrewAI.
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 14 tools from Moova
Why Use CrewAI with the Moova MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Moova 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
Moova + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Moova MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Moova 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 Moova, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Moova 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 Moova against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Moova MCP Tools for CrewAI (14)
These 14 tools become available when you connect Moova to CrewAI via MCP:
cancel_shipment
Once cancelled, the shipment cannot be reactivated and a new one must be created if needed. Cancel an active shipment order
create_shipment
Requires origin and destination addresses with full street details, contact information, and package dimensions. Moova will automatically assign the optimal carrier and route based on real-time availability. Create a new logistics shipment
create_webhook
Essential for keeping your e-commerce platform synchronized with delivery progress. Register a new webhook for shipment events
delete_webhook
Remove a webhook endpoint
get_account_info
Get merchant account information
get_budget
Returns pricing from available carriers including express, same-day, and standard delivery options. Get a shipping cost estimate
get_shipment
Get full details of a specific shipment
get_shipment_label
The label includes barcode, QR code, and all routing information required by the assigned carrier. Download the shipping label for a shipment
get_shipment_status
Get the current status of a shipment
list_coverage_zones
List all available delivery coverage zones
list_shipments
Can be filtered by shipment status (e.g., CREATED, IN_TRANSIT, DELIVERED, CANCELLED) to narrow results. List all shipments with optional status filter
list_webhooks
List all registered webhooks
track_shipment
Get real-time tracking events for a shipment
update_shipment
Changes are not allowed after the carrier has collected the package. Update shipment details before pickup
Example Prompts for Moova in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Moova immediately.
"Create a delivery from 'Av. Corrientes 1234, Buenos Aires' to 'Av. Santa Fe 5678, Buenos Aires' for Juan Pérez."
"How much would it cost to ship from Palermo to Belgrano in Buenos Aires?"
"Track my shipment MOV-28491-AR and tell me where it is right now."
Troubleshooting Moova MCP Server with CrewAI
Common issues when connecting Moova to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Moova + CrewAI FAQ
Common questions about integrating Moova MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Moova with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Moova to CrewAI
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.