How to Use the Malaysia Weather MCP in CrewAI

Q: Can one CrewAI agent check for earthquakes and another for the forecast using the Malaysia Weather server?

Yes, this is exactly what CrewAI is designed for. Create a SeismicAgent with the getmalaysiaearthquakes tool and a ForecastAgent with getmalaysiaforecast. You can run them in a sequence or have them report to a manager agent.

Q: How do I give my CrewAI agents access to the Malaysia Weather tools?

Just pass the Vinkius MCP server URL to the mcps parameter when defining your Agent. CrewAI handles the connection and makes the tools (getmalaysiaforecast, getmalaysiawarnings, etc.) available to the agent's toolset.

Q: Can I build a system that alerts my team on Slack about Malaysian weather?

Yes. You'd have a WeatherMonitor agent using this MCP server. If it finds a critical warning, it delegates the task of sending a message to a NotificationAgent that has a Slack tool.

Deploy autonomous agent crews to monitor Malaysian weather, analyze impact, and trigger operational responses with CrewAI.

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Connect Malaysia Weather MCP to CrewAI

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

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Build a Weather Monitoring Crew

Assign roles to your agents. A `MonitorAgent` can run on a schedule, calling `get_malaysia_warnings` and `get_malaysia_earthquakes` every five minutes. If it detects a new event, it passes the data to a specialized `AnalystAgent`. The `AnalystAgent` then takes over. It uses the alert context from the first agent to pull a detailed `get_malaysia_forecast` for the affected area. It can then determine the potential impact on your specific assets or operations in that zone.

Autonomous Incident Response

Create a `ResponderAgent` that acts on the analyst's findings. If the `AnalystAgent` flags a high-magnitude earthquake from `get_malaysia_earthquakes` near a coastal area, the `ResponderAgent` can be tasked to immediately check `get_malaysia_warnings` specifically for tsunami alerts. This entire sequence runs without human intervention. CrewAI's ability to orchestrate a team of agents lets you build a full-cycle monitoring and response system. The crew works together, sharing context through their shared memory to make decisions.

Specialized Roles for Your MCP Server

You don't have to give every agent access to every tool. Use CrewAI's `tool_filter` to create specialists. For instance, your `SeismicMonitor` agent might only have permission to use `get_malaysia_earthquakes`, preventing it from accidentally calling other tools. This lets you build safer and more predictable autonomous systems. An agent designed only to fetch forecasts with `get_malaysia_forecast` can't trigger alerts, and your `WarningAgent` stays focused on its critical task. This MCP server gives you the precise tools to assign.

Setup guide

Set up Malaysia Weather 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 Malaysia Weather tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Malaysia Weather 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 MET 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 Malaysia Weather MCP in CrewAI

Create at least two agents. The first agent's task is to periodically call `get_malaysia_warnings`. If a warning is found, it passes the context and data to a second agent, whose task is to analyze the warning and decide on a response.

Yes, this is exactly what CrewAI is designed for. Create a `SeismicAgent` with the `get_malaysia_earthquakes` tool and a `ForecastAgent` with `get_malaysia_forecast`. You can run them in a sequence or have them report to a manager agent.

Just pass the Vinkius MCP server URL to the `mcps` parameter when defining your Agent. CrewAI handles the connection and makes the tools (`get_malaysia_forecast`, `get_malaysia_warnings`, etc.) available to the agent's toolset.

Yes. You'd have a `WeatherMonitor` agent using this MCP server. If it finds a critical warning, it delegates the task of sending a message to a `NotificationAgent` that has a Slack tool.

The MCP server itself stores nothing; it's a pass-through. Your CrewAI agents will hold the `earthquake alerts`, `forecasts`, and `weather warnings` in their memory or context for the duration of a task, but the remote server doesn't log or persist any of it.

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