Tomorrow.io MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Tomorrow.io 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="tomorrowio_agent",
instruction=(
"You help users interact with Tomorrow.io "
"using 10 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 Tomorrow.io MCP Server
Connect your Tomorrow.io account to any AI agent and integrate institutional-grade weather modeling into your logic flows. Retrieve hyperlocal conditions, predict rainfall down to the specific minute, and access specialized environmental matrices (air quality, fire risks, and ground road weather) directly through natural language queries.
Google ADK natively supports Tomorrow.io as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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
- Real-time Observations — Check comprehensive atmospheric indicators for any latitude, longitude, city, or zip code dynamically
- Interval Forecasting — Read forward-looking timelines segmented by minute (precipitation), hours (daily events), or deep daily projections up to 15 days out
- Environmental Hazards — Interrogate the AQI (Air Quality Index), pollen density predictions, or active Wildfire index algorithms
- Logistical Safeguards — Check specialized
Road Riskparameters natively, enabling safer fleet routing algorithms against complex weather patterns - Historical Auditing — Query observed historical conditions by defining past temporal boundaries and desired weather field sets for retroactive analysis
The Tomorrow.io MCP Server exposes 10 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 Tomorrow.io to Google ADK via MCP
Follow these steps to integrate the Tomorrow.io 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 10 tools from Tomorrow.io via MCP
Why Use Google ADK with the Tomorrow.io MCP Server
Google ADK provides unique advantages when paired with Tomorrow.io 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 Tomorrow.io
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 Tomorrow.io tools with BigQuery, Vertex AI, and Cloud Functions
Tomorrow.io + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Tomorrow.io MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Tomorrow.io and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Tomorrow.io tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Tomorrow.io regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Tomorrow.io
Tomorrow.io MCP Tools for Google ADK (10)
These 10 tools become available when you connect Tomorrow.io to Google ADK via MCP:
get_air_quality_index
Retrieve current and forecast air quality data
get_custom_timelines
Query weather data for custom time ranges and arbitrary intervals
get_daily_forecast
Returns up to 15 days of daily intervals. Retrieve daily weather forecast extremes and totals
get_historical_weather
Retrieve actual recorded historical weather observations
get_hourly_forecast
Returns up to 120 hours of predictions. Retrieve hour-by-hour weather forecast for a location
get_minutely_precipitation
Retrieve minute-by-minute precipitation nowcast
get_pollen_forecast
Retrieve daily pollen count indices
get_realtime_weather
Provide a location (lat,lon, city name, or zip) and field list. Retrieve current real-time weather conditions for any global location
get_road_weather_risk
Retrieve assessments for driving and road hazards
get_wildfire_risk
Retrieve wildfire risk index and weather conditions
Example Prompts for Tomorrow.io in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Tomorrow.io immediately.
"What is the expected air quality index in New York over the next hour?"
"Show me the minute-by-minute precipitation near Golden Gate bridge right now."
Troubleshooting Tomorrow.io MCP Server with Google ADK
Common issues when connecting Tomorrow.io to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTomorrow.io + Google ADK FAQ
Common questions about integrating Tomorrow.io 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 Tomorrow.io 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 Tomorrow.io to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.