How to Use the Lalamove Malaysia MCP in CrewAI

Q: How do I load the Lalamove Malaysia MCP Server into CrewAI?

Install crewaitools. You can either pass the Vinkius URL directly into the mcps array on your Agent definition, or use MCPServerHTTP for selective tool filtering.

Deploy autonomous logistics teams in CrewAI to manage Lalamove Malaysia deliveries.

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Connect Lalamove Malaysia MCP to CrewAI

Create your Vinkius account to connect Lalamove Malaysia 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 Lalamove Malaysia with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate Autonomous Logistics Crews

`list_city_info` and `list_vehicle_info` give a dedicated research agent the data to map out regional delivery constraints. This agent figures out exactly what trucks operate in Kuala Lumpur before passing the requirements to a booking agent. The agents share memory and context. The researcher sets the parameters, and the dispatcher executes the actual booking, completely eliminating manual oversight.

Delegate Lalamove Malaysia MCP Server Budgets

`get_quotation` and `get_price_breakdown` give your finance agent the exact numbers needed to approve a shipment. The agent analyzes distance fees versus tolls and decides if the current rate fits the corporate budget. Once approved, a separate execution agent fires `place_order`. If the route is too expensive, the finance agent rejects the job and logs the surge pricing for later analysis.

Monitor Active Deliveries

`get_driver_location` and `get_driver_details` serve as the primary inputs for a dedicated monitoring agent. This agent continuously watches the active order list and tracks the GPS coordinates of every moving vehicle. When a driver stops moving for too long, the monitor alerts a moderator agent. The moderator then decides whether to execute `add_priority_fee` to incentivize the driver or hit `cancel_order` and rebook.

Setup guide

Set up Lalamove Malaysia 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 Lalamove Malaysia tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Lalamove Malaysia 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="Lalamove Malaysia Analyst",
        goal="Access and analyze Lalamove Malaysia data via MCP.",
        backstory="Expert analyst with direct Lalamove Malaysia access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lalamove Malaysia 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 Lalamove Malaysia. 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 Lalamove Malaysia MCP in CrewAI

Install `crewai[tools]`. You can either pass the Vinkius URL directly into the `mcps` array on your Agent definition, or use `MCPServerHTTP` for selective tool filtering.

They handle it easily. You assign the quotation tools to a specific finance agent that evaluates the price breakdown before allowing the dispatch agent to proceed.

CrewAI uses shared memory. The agent that places the order writes the tracking ID to memory, allowing the monitoring agent to pick it up and start tracking the driver.

Yes. A monitor agent watches the tracking status. If it detects a prolonged delay, it hands the order ID to an execution agent that triggers the cancellation tool on the Lalamove Malaysia MCP Server.

The integration processes live driver phone numbers and vehicle license plates. CrewAI isolates this Personally Identifiable Information (PII) within the specific agent's short-term memory, ensuring contact details never leak into global logs.

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