Open-Meteo Full Access MCP Server for Google ADK 15 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Open-Meteo Full Access as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
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Vinkius supports streamable HTTP and SSE.
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_full_access_agent",
instruction=(
"You help users interact with Open-Meteo Full Access "
"using 15 available tools."
),
tools=[mcp_tools],
)
* 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 Full Access MCP Server
The definitive Mega-Server for weather and climate intelligence. Why install 7 servers when one does it all?
Google ADK natively supports Open-Meteo Full Access as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 15 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
- Live Weather — 16-day forecast + current conditions for any GPS coordinate
- 84 Years of History — Hourly weather archives from 1940 to today
- Ocean Intelligence — Wave height, swell, currents, sea surface temperature at 5km
- Air Safety — PM2.5, PM10, O₃, pollen counts, European & US AQI
- Climate Future — IPCC projections to 2100 + ensemble probabilistic forecasts
- Flood Risk — GloFAS river discharge with 40 years of reanalysis + 7 months forward
- Location Tools — Global geocoding and 90m terrain elevation
The Open-Meteo Full Access MCP Server exposes 15 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 Full Access to Google ADK via MCP
Follow these steps to integrate the Open-Meteo Full Access MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 15 tools from Open-Meteo Full Access via MCP
Why Use Google ADK with the Open-Meteo Full Access MCP Server
Google ADK provides unique advantages when paired with Open-Meteo Full Access through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Open-Meteo Full Access
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Open-Meteo Full Access tools with BigQuery, Vertex AI, and Cloud Functions
Open-Meteo Full Access + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Open-Meteo Full Access MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Open-Meteo Full Access and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Open-Meteo Full Access tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Open-Meteo Full Access regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Open-Meteo Full Access
Open-Meteo Full Access MCP Tools for Google ADK (15)
These 15 tools become available when you connect Open-Meteo Full Access to Google ADK via MCP:
get_air_quality
5, PM10, ozone, NO2, SO2, CO concentrations. Get air quality pollutant concentrations
get_aqi_index
Get AQI (European and US standards)
get_climate_projection
Get IPCC climate projections (2015–2100)
get_current_weather
Get current weather conditions
get_elevation
Get terrain elevation for any coordinates
get_ensemble_forecast
Get probabilistic multi-model ensemble forecast
get_flood_forecast
Get flood forecast up to 7 months ahead
get_historical_daily
Get historical daily aggregates
get_historical_weather
Covers 84 years. Get historical weather (1940–present)
get_marine_forecast
Get marine wave forecast at 5km resolution
get_ocean_currents
Get ocean currents and sea surface temperature
get_pollen_forecast
Get pollen and allergen forecast
get_river_discharge
Get river discharge data at 5km resolution
get_weather_forecast
Get weather forecast for any location (up to 16 days)
search_location
Search cities and locations globally
Example Prompts for Open-Meteo Full Access in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Open-Meteo Full Access immediately.
"Full weather briefing for a yacht trip from Lisbon to Madeira next week"
"Climate risk assessment for a new data center in Singapore"
"What was the weather like on the day I was born? July 15, 1990 in Rome"
Troubleshooting Open-Meteo Full Access MCP Server with Google ADK
Common issues when connecting Open-Meteo Full Access to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkOpen-Meteo Full Access + Google ADK FAQ
Common questions about integrating Open-Meteo Full Access MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Open-Meteo Full Access with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Open-Meteo Full Access to Google ADK
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.