Can my AI automatically get a delivery quote before placing an order?

Yes! Use the `get_quotation` tool with the pickup and delivery addresses and vehicle type. Your agent will return the estimated cost and distance instantly.

How do I track the real-time location of a Lalamove driver?

Use the `get_order_details` tool with your active Order ID. If a driver has been assigned, the agent will return their current GPS coordinates and contact information.

Does Lalamove support motorcycle deliveries in Kuala Lumpur?

Yes! Use the `list_cities` tool to verify coverage and supported vehicle types. Motorcycles (MOTORCYCLE) are a standard vehicle option for Kuala Lumpur and most Malaysian cities.

Lalamove Malaysia MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Lalamove Malaysia
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Lalamove Malaysia Specialist",
    goal="Help users interact with Lalamove Malaysia effectively",
    backstory=(
        "You are an expert at leveraging Lalamove Malaysia 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 Lalamove Malaysia "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 Lalamove Malaysia MCP Server

Connect your AI agents to Lalamove Malaysia, the leading on-demand delivery platform. This MCP provides 10 tools to automate delivery quotations, orchestrate shipment orders, and track driver status in real-time directly through natural conversation.

When paired with CrewAI, Lalamove Malaysia becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Lalamove Malaysia 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

Delivery Quotation — Get real-time price estimates for various vehicle types based on pickup and drop-off locations
Order Management — Create, cancel, and retrieve shipment orders programmatically using the official API
Driver Tracking — Monitor driver assignments, contact details, and real-time GPS locations for active deliveries
City Intelligence — Verify service availability and list supported cities within the Lalamove Malaysia network
Market Transparency — Access granular fee breakdowns, including base fares and surcharges, for any delivery task

The Lalamove Malaysia MCP Server exposes 10 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 Lalamove Malaysia to CrewAI via MCP

Follow these steps to integrate the Lalamove Malaysia 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 10 tools from Lalamove Malaysia

Why Use CrewAI with the Lalamove Malaysia MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Lalamove Malaysia 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

Lalamove Malaysia + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Lalamove Malaysia 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 Lalamove Malaysia, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Lalamove Malaysia 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 Lalamove Malaysia against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Lalamove Malaysia MCP Tools for CrewAI (10)

These 10 tools become available when you connect Lalamove Malaysia to CrewAI via MCP:

add_priority_fee

Add a priority fee (tip) to an order

cancel_order

Cancel an active delivery order

get_driver_details

Get information about the assigned driver

get_driver_location

Get real-time GPS location of the assigned driver

get_order_details

Get details for a specific order

get_price_breakdown

Retrieve detailed price breakdown for a quotation

get_quotation

Returns a quotationId and price breakdown. Get a delivery quotation

list_city_info

List supported cities and service types

list_vehicle_info

List available vehicle types

place_order

Place a new delivery order

Example Prompts for Lalamove Malaysia in CrewAI

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

"Get a Lalamove quote for a motorcycle from 'KLCC' to 'Petaling Jaya'."

"Track my active Lalamove order 'ord_123456789'."

"Cancel my Lalamove order ID 'ord_999888777'."

Troubleshooting Lalamove Malaysia MCP Server with CrewAI

Common issues when connecting Lalamove Malaysia 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.

Lalamove Malaysia + CrewAI FAQ

Common questions about integrating Lalamove Malaysia 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.