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Open-Meteo MCP Server for Google ADK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add 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="open_meteo_agent",
    instruction=(
        "You help users interact with Open-Meteo "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)
Open-Meteo
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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<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 Open-Meteo MCP Server

Connect to Open-Meteo and access global weather forecasts through natural conversation — no API key needed.

Google ADK natively supports Open-Meteo as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 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 Weather — Get real-time temperature, humidity, wind, precipitation and conditions
  • 7-Day Forecast — Hourly and daily forecasts up to 16 days ahead with 50+ weather variables
  • Historical Weather — Access archived weather data going back to 1940 for any location
  • Air Quality — Get PM2.5, PM10, NO2, O3, SO2, CO and UV index forecasts
  • Geocoding — Find coordinates for any city or place name
  • Elevation — Get elevation data for any coordinates

The Open-Meteo MCP Server exposes 5 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 to Google ADK via MCP

Follow these steps to integrate the 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 5 tools from Open-Meteo via MCP

Why Use Google ADK with the Open-Meteo MCP Server

Google ADK provides unique advantages when paired with 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 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 Open-Meteo tools with BigQuery, Vertex AI, and Cloud Functions

Open-Meteo + Google ADK Use Cases

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

01

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

02

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

03

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

Open-Meteo MCP Tools for Google ADK (5)

These 5 tools become available when you connect Open-Meteo to Google ADK via MCP:

01

get_air_quality

5, PM10, nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide, dust, pollen and UV index. Requires latitude and longitude. Returns hourly data for up to 7 days. Common variables: pm2_5, pm10, nitrogen_dioxide, ozone, sulphur_dioxide, carbon_monoxide, dust, uv_index, alder_pollen, grass_pollen. Get air quality forecast for a location

02

get_elevation

Useful for hiking, aviation and geographic research. Get elevation for coordinates

03

get_forecast

Requires latitude and longitude. Supports hourly, daily and current weather variables. Common variables: temperature_2m, relative_humidity_2m, precipitation, rain, snowfall, wind_speed_10m, wind_direction_10m, wind_gusts_10m, weather_code, cloud_cover, pressure_msl, uv_index, visibility, apparent_temperature, dew_point_2m, sunshine_duration. Set past_days to include historical data (0-92 days). Set forecast_days for forecast length (0-16 days, default 7). Timezone defaults to GMT; use "auto" for local timezone. Get weather forecast for a location

04

get_geocoding

Useful for finding coordinates to use with weather tools. Returns up to 10 results by default. Find coordinates for a place name

05

get_historical_weather

Requires latitude, longitude, start date and end date (YYYY-MM-DD format). Supports the same hourly variables as the forecast API. Historical data goes back to 1940 for most locations. Use get_geocoding to find coordinates for a city name. Get historical weather data for a location

Example Prompts for Open-Meteo in Google ADK

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

01

"What's the weather forecast for São Paulo this week?"

02

"What was the temperature in Tokyo on July 15, 2024?"

03

"What's the air quality in Beijing right now?"

Troubleshooting Open-Meteo MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Open-Meteo + Google ADK FAQ

Common questions about integrating 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 Open-Meteo to Google ADK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.