How to Use the Weather (Open-Meteo) MCP in Google ADK

Q: How do I use Weather (Open-Meteo) for scheduling tasks in Google ADK?

The weather.besttime tool analyzes the next 72 hours and calculates a comfort score for specific activities, like beach or cycling. It tells you exactly when to go.

Q: What kind of weather alerts are available with Weather (Open-Meteo) in Google ADK?

The weather.alerts tool provides active advisories based on the forecast data for any city. If there's nothing major going on, it just returns an empty list.

Q: Can I use Weather (Open-Meteo) to compare cities with Google ADK?

Absolutely. weather.compare lets you check multiple locations at once and gives a comfort score for each one, making it easy to decide which city is best.

Q: How detailed is the hourly forecast using Weather (Open-Meteo) in Google ADK?

The weather.hourly tool covers the next 24 hours, giving you a granular breakdown of conditions by the hour. This is great for precise operational planning.

Build enterprise weather intelligence with the Google ADK and Weather (Open-Meteo).

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Connect Weather (Open-Meteo) MCP to Google ADK

Create your Vinkius account to connect Weather (Open-Meteo) to Google ADK 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 Weather (Open-Meteo) with Google ADK

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Compare conditions across multiple cities

Use `weather.compare` to run side-by-side analyses for 2 to 5 cities right from your BigQuery pipelines. It spits out a calculated comfort score, so you know exactly where your users should go. It's perfect if you’re running an agent that needs to decide between locations, like comparing 'NYC and London this weekend.' This MCP Server handles the complex logic.

Get long-range multi-day weather forecasts

For planning months out, `weather.forecast` delivers a full 1 to 14-day outlook for any location worldwide. Your agent can feed this into your long-context models. It gives you the runway needed to make big decisions based on future atmospheric conditions.

Analyze optimal timing with MCP Server

Don't guess when to go hiking. `weather.best_time` analyzes 72 hours of hourly data and scores every three-hour window for specific activities—like running or photography. It always tells you the single best time, too. This allows your agent to schedule complex outdoor events with high certainty.

Setup guide

Set up Weather (Open-Meteo) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Weather (Open-Meteo) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Weather (Open-Meteo)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Weather (Open-Meteo) tools via MCP.",
    tools=mcp_tools,
)

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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 Open-Meteo. 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 Weather (Open-Meteo) MCP in Google ADK

The `weather.best_time` tool analyzes the next 72 hours and calculates a comfort score for specific activities, like beach or cycling. It tells you exactly when to go.

The `weather.alerts` tool provides active advisories based on the forecast data for any city. If there's nothing major going on, it just returns an empty list.

Absolutely. `weather.compare` lets you check multiple locations at once and gives a comfort score for each one, making it easy to decide which city is best.

This MCP Server touches public, real-time atmospheric data (AQI, temperature, precipitation). The information provided is read-only weather data; no private user records are accessed.

The `weather.hourly` tool covers the next 24 hours, giving you a granular breakdown of conditions by the hour. This is great for precise operational planning.

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