How to Use the Malaysia Weather MCP in AutoGen

Coordinate multi-agent debates in AutoGen using real-time MET Malaysia weather and seismic data.

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Connect Malaysia Weather MCP to AutoGen

Create your Vinkius account to connect Malaysia Weather to AutoGen 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 AutoGen

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Debate seismic risk with AutoGen

Assign an agent to query `get_malaysia_earthquakes` and debate the findings with a safety officer agent. They evaluate the magnitude and distance to reach a consensus on operational impact. This removes the bias of a single agent. The team deliberates on the raw seismic data to ensure your response is measured and accurate.

Forecast-driven agent consensus

Let your AutoGen agents call `get_malaysia_forecast` and argue over the implications for project timelines. One agent pushes for speed while another flags potential rain delays. They negotiate based on the actual temperature and weather outlook. You get a decision that accounts for multiple perspectives, not just a single point of failure.

Negotiate severe weather responses

Use `get_malaysia_warnings` as an input for your agent conversation. The security agent flags the warning, and the logistics agent must propose a new plan accordingly. They reach a consensus on when to pause operations. This provides a rigorous, debate-tested approach to handling severe weather alerts in Malaysia.

Setup guide

Set up Malaysia Weather MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Malaysia Weather tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Malaysia Weather_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Malaysia Weather data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Malaysia Weather_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Malaysia Weather data")
    print(result.messages[-1].content)

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 AutoGen

You pass the tools to the agents, and their system prompt instructs them to use the data as evidence during their deliberation process.

The agents can be instructed to summarize or translate the bilingual content during their discussion. This ensures all agents are on the same page.

Yes. You can define specific tool access levels for each agent in your group, ensuring only authorized agents query the weather data.

Yes, it uses the standard streaming HTTP transport, allowing your agents to receive real-time data updates during their debates.

The server only reads public weather alerts and seismic reports. It has no access to your internal agent conversations or private system logs.

Use it with your favorite AI tools

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

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