How to Use the Lalamove Malaysia MCP in OpenAI Agents SDK

Q: How do I install the Lalamove Malaysia MCP Server for the OpenAI Agents SDK?

Run pip install openai-agents in your terminal. Then wrap the endpoint URL using MCPServerStreamableHttp and pass it into the mcpservers array when initializing your agent. Set cacheToolsList=True to speed up tool discovery.

Q: What happens if driver supply is low in Kuala Lumpur?

Your agent can monitor the dispatch status via getorderdetails. If it stalls, the system can automatically trigger addpriorityfee to increase the tip and attract a driver.

Q: How does the OpenAI Agents SDK handle Lalamove Malaysia vehicle types?

The agent queries listvehicleinfo and listcityinfo to match your cargo weight against available transport options. It then feeds the correct vehicle code into the quotation request.

Connect the Lalamove Malaysia MCP Server to the OpenAI Agents SDK and dispatch real-world deliveries straight from your Python code.

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Connect Lalamove Malaysia MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lalamove Malaysia to OpenAI Agents SDK 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 OpenAI Agents SDK

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Quote routing with OpenAI Agents SDK

Your agent needs to know what a run costs before it commits budget. By calling `get_quotation` and `get_price_breakdown`, the system pulls the exact base fare and wait-time fees for any route in Malaysia. You do not want a rogue agent burning cash. The OpenAI guardrails validate these quotes before `place_order` ever fires, ensuring your automated dispatch stays within strict financial constraints.

Dispatch and cancel deliveries

Once a quote is approved, your agent triggers `place_order` to lock in the job. If the destination changes or a warehouse delay happens, the agent can hit `cancel_order` immediately to prevent a wasted trip. Sometimes driver supply dries up in specific zones. Your agent can evaluate the delay and execute `add_priority_fee` to bump the tip, securing a driver faster without human intervention. The MCP Server handles the actual API execution while your code manages the budget logic.

Real-time driver telemetry

Customers call asking where their stuff is. Instead of making them wait, your specialized tracking agent polls `get_driver_location` to pull raw GPS coordinates. Combine this with `get_driver_details` and `get_order_details` to build a complete picture of the delivery state. The OpenAI tracing dashboard logs every one of these tool calls so you know exactly how often your agent checks the status.

Setup guide

Set up Lalamove Malaysia MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Lalamove Malaysia tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Lalamove Malaysia tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lalamove Malaysia tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Lalamove Malaysia Agent",
            instructions="You have access to Lalamove Malaysia tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Run `pip install openai-agents` in your terminal. Then wrap the endpoint URL using `MCPServerStreamableHttp` and pass it into the `mcp_servers` array when initializing your agent. Set `cacheToolsList=True` to speed up tool discovery.

Yes. If your business logic flags an issue, the agent calls `cancel_order` to terminate the active job. You can set guardrails in the OpenAI Agents SDK to require human approval before this happens.

Your agent can monitor the dispatch status via `get_order_details`. If it stalls, the system can automatically trigger `add_priority_fee` to increase the tip and attract a driver.

The agent queries `list_vehicle_info` and `list_city_info` to match your cargo weight against available transport options. It then feeds the correct vehicle code into the quotation request.

Yes, routing requires exact GPS coordinates and street addresses to function. The connection acts as a strict, ephemeral conduit, meaning your Python environment sends payload data straight to the endpoint, and Vinkius drops the connection immediately after the API responds.

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