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Weather (Open-Meteo) MCP Server for Google ADK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Weather (Open-Meteo) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="weather_open_meteo_agent",
    instruction=(
        "You help users interact with Weather (Open-Meteo) "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)
Weather (Open-Meteo)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Weather (Open-Meteo) MCP Server

Connect to Open-Meteo and empower your AI agent with high-precision meteorological data through natural conversation. This server provides comprehensive weather insights for any location on Earth without requiring complex API configurations.

Google ADK natively supports Weather (Open-Meteo) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Current Conditions — Retrieve real-time temperature, humidity, wind speed, and precipitation for any city
  • Precise Forecasts — Get 7-day daily forecasts or detailed 24-hour hourly breakdowns to plan your activities
  • Air Quality — Monitor US AQI levels and dominant pollutants (PM2.5, PM10, Ozone) with health recommendations
  • Weather Alerts — Receive critical notifications for severe weather conditions like storms, heavy snow, or high UV levels
  • City Comparisons — Compare weather conditions between two different cities to help with travel or logistics planning
  • Best Time Analysis — Find the optimal window for outdoor activities based on temperature and precipitation thresholds
  • Global Coverage — Seamlessly geocode any city name into coordinates for instant weather retrieval

The Weather (Open-Meteo) MCP Server exposes 7 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Weather (Open-Meteo) to Google ADK via MCP

Follow these steps to integrate the Weather (Open-Meteo) MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 7 tools from Weather (Open-Meteo) via MCP

Why Use Google ADK with the Weather (Open-Meteo) MCP Server

Google ADK provides unique advantages when paired with Weather (Open-Meteo) through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Weather (Open-Meteo)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Weather (Open-Meteo) tools with BigQuery, Vertex AI, and Cloud Functions

Weather (Open-Meteo) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Weather (Open-Meteo) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Weather (Open-Meteo) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Weather (Open-Meteo) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Weather (Open-Meteo) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Weather (Open-Meteo)

Weather (Open-Meteo) MCP Tools for Google ADK (7)

These 7 tools become available when you connect Weather (Open-Meteo) to Google ADK via MCP:

01

weather.air_quality

Always display the health_recommendation from the result. AQI scale: 0-50=Good, 51-100=Moderate, 101-150=Unhealthy for Sensitive Groups, 151-200=Unhealthy, 201-300=Very Unhealthy, 301+=Hazardous. Get current air quality index (AQI), PM2.5, PM10, ozone, and NO2 for any city

02

weather.alerts

Alerts are computed from current conditions and the 7-day forecast. Returns an empty list if no significant conditions are detected. Get active weather alerts and advisories for any city, derived from forecast data

03

weather.best_time

This tool analyses hourly data for 72 hours and scores each 3-hour window using activity-specific criteria. Supports activities: general, hiking, beach, cycling, running, outdoor_work, photography, picnic. Always show the tip from the top-ranked window. Find the best time windows in the next 72 hours to do an outdoor activity in any city, with a comfort score

04

weather.compare

g. "which city has better weather?", "should I go to Lisbon or Madrid this weekend?", "compare weather in NYC, London, and Tokyo"). Accepts 2 to 5 cities. Computes a comfort score for each and highlights the best option. Compare current weather conditions across multiple cities side by side, with comfort scores

05

weather.current

Accept natural language city names (e.g. "São Paulo", "New York", "Paris, France"). Do NOT use for forecasts — use weather.forecast for that. Get current weather conditions for any city in the world

06

weather.forecast

Default to 7 days if the user does not specify. Max 14 days. For today's hour-by-hour breakdown, use weather.hourly instead. Get a multi-day weather forecast (1–14 days) for any city in the world

07

weather.hourly

Always covers the next 24 hours from now. For multi-day overview, use weather.forecast instead. Get an hour-by-hour weather forecast for the next 24 hours for any city

Example Prompts for Weather (Open-Meteo) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Weather (Open-Meteo) immediately.

01

"What's the weather like in Tokyo right now?"

02

"Give me the 7-day forecast for London."

03

"Compare the weather between New York and Miami."

Troubleshooting Weather (Open-Meteo) MCP Server with Google ADK

Common issues when connecting Weather (Open-Meteo) to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Weather (Open-Meteo) + Google ADK FAQ

Common questions about integrating Weather (Open-Meteo) MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Weather (Open-Meteo) to Google ADK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.