Open-Meteo Climate & Ensemble MCP Server for Google ADK 3 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Open-Meteo Climate & Ensemble as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
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_climate_ensemble_agent",
instruction=(
"You help users interact with Open-Meteo Climate & Ensemble "
"using 3 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 Climate & Ensemble MCP Server
Give your AI a window into the climate future with IPCC-grade projections and probabilistic forecasting.
Google ADK natively supports Open-Meteo Climate & Ensemble as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 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
- IPCC Projections — Temperature and precipitation under different SSP emission scenarios from 2015 to 2100 using CMIP6 models
- Ensemble Forecasts — Probabilistic predictions from 6+ weather models simultaneously for uncertainty quantification
- Temperature Trends — Decades-long temperature trajectory analysis for any location
The Open-Meteo Climate & Ensemble MCP Server exposes 3 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 Climate & Ensemble to Google ADK via MCP
Follow these steps to integrate the Open-Meteo Climate & Ensemble 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 3 tools from Open-Meteo Climate & Ensemble via MCP
Why Use Google ADK with the Open-Meteo Climate & Ensemble MCP Server
Google ADK provides unique advantages when paired with Open-Meteo Climate & Ensemble 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 Climate & Ensemble
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 Climate & Ensemble tools with BigQuery, Vertex AI, and Cloud Functions
Open-Meteo Climate & Ensemble + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Open-Meteo Climate & Ensemble MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Open-Meteo Climate & Ensemble and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Open-Meteo Climate & Ensemble tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Open-Meteo Climate & Ensemble 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 Climate & Ensemble
Open-Meteo Climate & Ensemble MCP Tools for Google ADK (3)
These 3 tools become available when you connect Open-Meteo Climate & Ensemble to Google ADK via MCP:
get_climate_projection
Uses CMIP6 climate models for long-term climate analysis. Get IPCC climate change projections (2015–2100)
get_climate_temperature_trend
Get long-term temperature trend projections
get_ensemble_forecast
Useful for risk assessment and probabilistic planning. Get probabilistic multi-model ensemble forecast
Example Prompts for Open-Meteo Climate & Ensemble in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Open-Meteo Climate & Ensemble immediately.
"What will temperatures look like in Paris by 2080 under worst-case emissions?"
"Run an ensemble forecast for London — how confident is the rain prediction?"
"How much hotter will summers in Dubai get by 2060?"
Troubleshooting Open-Meteo Climate & Ensemble MCP Server with Google ADK
Common issues when connecting Open-Meteo Climate & Ensemble to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkOpen-Meteo Climate & Ensemble + Google ADK FAQ
Common questions about integrating Open-Meteo Climate & Ensemble 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?
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Connect Open-Meteo Climate & Ensemble to Google ADK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.