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Open-Meteo Weather Forecast MCP Server for Google ADK 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Open-Meteo Weather Forecast as an MCP tool provider through the 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="open_meteo_weather_forecast_agent",
    instruction=(
        "You help users interact with Open-Meteo Weather Forecast "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)
Open-Meteo Weather Forecast
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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 Open-Meteo Weather Forecast MCP Server

Connect your AI agent to the world's most comprehensive open weather API — no API key, no registration, no rate-limit headaches.

Google ADK natively supports Open-Meteo Weather Forecast as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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

  • 16-Day Forecast — Hourly and daily predictions with temperature, precipitation probability, wind, humidity, UV index, and weather codes
  • Current Conditions — Real-time snapshot including apparent temperature, cloud cover, wind gusts, and precipitation status
  • Hourly Granularity — Dewpoint, visibility, snow depth, solar radiation, evapotranspiration, and CAPE convective index
  • Daily Summaries — Max/min temperature, sunrise/sunset times, sunshine duration, and dominant wind direction

The Open-Meteo Weather Forecast MCP Server exposes 4 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 Open-Meteo Weather Forecast to Google ADK via MCP

Follow these steps to integrate the Open-Meteo Weather Forecast 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 4 tools from Open-Meteo Weather Forecast via MCP

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

Google ADK provides unique advantages when paired with Open-Meteo Weather Forecast 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 Open-Meteo Weather Forecast

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 Open-Meteo Weather Forecast tools with BigQuery, Vertex AI, and Cloud Functions

Open-Meteo Weather Forecast + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Open-Meteo Weather Forecast 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 Open-Meteo Weather Forecast

Open-Meteo Weather Forecast MCP Tools for Google ADK (4)

These 4 tools become available when you connect Open-Meteo Weather Forecast to Google ADK via MCP:

01

get_current_weather

Provide latitude and longitude. Get current weather conditions for any location

02

get_daily_summary

Get daily weather summary with sunrise/sunset

03

get_hourly_details

Get detailed hourly weather data

04

get_weather_forecast

Provide latitude and longitude coordinates. Get weather forecast for any location (up to 16 days)

Example Prompts for Open-Meteo Weather Forecast in Google ADK

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

01

"What's the weather forecast for Tokyo this week?"

02

"What are the current weather conditions in New York?"

03

"Will it snow in Munich in the next 10 days?"

Troubleshooting Open-Meteo Weather Forecast MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Open-Meteo Weather Forecast + Google ADK FAQ

Common questions about integrating Open-Meteo Weather Forecast 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 Open-Meteo Weather Forecast to Google ADK

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.