How to Use the Malaysia Weather MCP in LlamaIndex

Index live MET Malaysia data into your LlamaIndex knowledge base for grounded, verifiable answers.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Malaysia Weather MCP to LlamaIndex

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

GDPR Free for Subscribers

Setup Malaysia Weather with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index seismic events

Pipe `get_malaysia_earthquakes` results into your vector store to build a searchable history of regional seismic activity. Your RAG application queries this index to provide context on recent tremors. Your agent doesn't just read the data; it saves it. This allows for long-term analysis of earthquake trends across your specific areas of interest.

Query location-based forecasts

Store `get_malaysia_forecast` outputs to create a persistent knowledge base of weather patterns in Malaysian cities. You get answers grounded in the actual 7-day outlook rather than model hallucinations. Your agents reference this indexed data to compare current conditions against historical forecasts. It turns raw API responses into a structured, queryable asset.

Searchable severe weather history

Index `get_malaysia_warnings` to keep a permanent record of past alert events. Your LlamaIndex agents can then retrieve specific warning types when asked about regional safety history. This creates a searchable log of emergency notices. You maintain an audit trail of every alert issued by MET Malaysia for your reference.

Setup guide

Set up Malaysia Weather MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Malaysia Weather MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Malaysia Weather tools.",
)
response = await agent.run("List recent Malaysia Weather data")

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Malaysia Weather now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Malaysia Weather MCP in LlamaIndex

You use the MCP client to fetch tool results and then add those documents to your LlamaIndex vector store. This makes the data available for all your RAG queries.

Yes. The agent can call the tools on-demand if the information is missing from the current index, ensuring you always get the latest report.

Absolutely. You convert the MCP tools into a tool list compatible with FunctionAgent, allowing for seamless integration.

You control the refresh frequency within your pipeline. You can call the tools whenever your agent decides the data needs an update.

It accesses public earthquake reports, 7-day weather forecasts, and official severe weather warnings. The server never touches your proprietary or sensitive files.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript