How to Use the Moova MCP in CrewAI

Q: Can CrewAI agents modify Moova shipments once created?

They can, provided you give them access to the updateshipment tool. Note that changes aren't permitted once the carrier has collected the package, so the agent will handle that logic check automatically.

Deploy autonomous logistics crews with Moova and CrewAI.

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Connect Moova MCP to CrewAI

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

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Setup Moova with CrewAI

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Autonomous carrier monitoring

Assign a monitor agent to watch your entire shipping queue. The agent uses `track_shipment` to poll for progress and flags any anomalies to a human moderator agent. This keeps your operations running 24/7. When a delivery is delayed, the agent automatically updates the internal record or notifies the appropriate team.

Collaborative shipping dispatch

Use a specialized crew to handle the end-to-end logistics process. One agent gathers the destination data, another verifies the budget using `get_budget`, and a third executes the `create_shipment` call. They share memory to ensure everyone is working from the same facts. This eliminates duplicate orders and ensures that every package is routed correctly.

Automated shipment lifecycle management

Keep your systems clean and updated without human help. An agent monitors for canceled or completed orders and cleans up by using `delete_webhook` for old endpoints. It ensures your webhook list remains accurate. You save time by letting the crew handle the housekeeping tasks that usually clog up your dashboard.

Setup guide

Set up Moova MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Moova tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Moova Analyst",
    goal="Access and analyze Moova data via MCP.",
    backstory="Expert analyst with direct Moova access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Moova transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Moova Analyst",
        goal="Access and analyze Moova data via MCP.",
        backstory="Expert analyst with direct Moova access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Moova transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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 Moova. 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.

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Common questions about Moova MCP in CrewAI

Pass the Moova URL directly into your Agent's mcps list. For more control, use the MCPServerHTTP helper to filter exactly which tools your crew can access.

They can, provided you give them access to the `update_shipment` tool. Note that changes aren't permitted once the carrier has collected the package, so the agent will handle that logic check automatically.

It is exactly what it is built for. By leveraging role-based specialization, your agents can handle research, analysis, and execution steps to manage your entire shipping volume.

Every tool call is logged by the agent. You can review the history of `create_shipment` or `track_shipment` events in your agent logs to see exactly how your crew managed each order.

Your shipment data is processed in an ephemeral sandbox. The MCP Server ensures that sensitive info like delivery addresses is only shared with the carrier and never leaked between different agents in your crew.

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