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NOAA Full — Ultimate Weather & Climate Intelligence MCP Server for Google ADK 36 tools — connect in under 2 minutes

Built by Vinkius GDPR 36 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add NOAA Full — Ultimate Weather & Climate Intelligence 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="noaa_full_ultimate_weather_climate_intelligence_agent",
    instruction=(
        "You help users interact with NOAA Full — Ultimate Weather & Climate Intelligence "
        "using 36 available tools."
    ),
    tools=[mcp_tools],
)
NOAA Full — Ultimate Weather & Climate Intelligence
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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 NOAA Full — Ultimate Weather & Climate Intelligence MCP Server

The ultimate NOAA Mega-Server — 36 tools across 7 domains from 5 official APIs.

Google ADK natively supports NOAA Full — Ultimate Weather & Climate Intelligence as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 36 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

36 Tools

  • 🌤️ Forecast (5) — Daily, hourly, grid, AFD, metadata
  • ⚠️ Alerts (4) — By state, zone, point, types
  • 📡 Observations (5) — Stations, current, history, radar
  • ✈️ Aviation (5) — METAR, TAF, PIREP, SIGMET, station
  • 🌊 Marine (6) — Tides, predictions, currents, water temp, met, sea level
  • ☀️ Space (6) — Kp, forecast, solar wind, aurora, flux, Dst
  • 📊 Climate (5) — Daily, monthly, yearly, normals, station search

No API Key Required

The NOAA Full — Ultimate Weather & Climate Intelligence MCP Server exposes 36 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 NOAA Full — Ultimate Weather & Climate Intelligence to Google ADK via MCP

Follow these steps to integrate the NOAA Full — Ultimate Weather & Climate Intelligence 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 36 tools from NOAA Full — Ultimate Weather & Climate Intelligence via MCP

Why Use Google ADK with the NOAA Full — Ultimate Weather & Climate Intelligence MCP Server

Google ADK provides unique advantages when paired with NOAA Full — Ultimate Weather & Climate Intelligence 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 NOAA Full — Ultimate Weather & Climate Intelligence

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 NOAA Full — Ultimate Weather & Climate Intelligence tools with BigQuery, Vertex AI, and Cloud Functions

NOAA Full — Ultimate Weather & Climate Intelligence + Google ADK Use Cases

Practical scenarios where Google ADK combined with the NOAA Full — Ultimate Weather & Climate Intelligence MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query NOAA Full — Ultimate Weather & Climate Intelligence and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine NOAA Full — Ultimate Weather & Climate Intelligence tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query NOAA Full — Ultimate Weather & Climate Intelligence 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 NOAA Full — Ultimate Weather & Climate Intelligence

NOAA Full — Ultimate Weather & Climate Intelligence MCP Tools for Google ADK (36)

These 36 tools become available when you connect NOAA Full — Ultimate Weather & Climate Intelligence to Google ADK via MCP:

01

get_active_alerts

Filter by state (2-letter code: TX, FL, CA), severity (Extreme, Severe, Moderate, Minor), urgency (Immediate, Expected, Future), or event type (Tornado Warning, Hurricane Warning, etc.). Get active weather alerts by US state or severity

02

get_alert_types

). Use this to discover valid event type values for filtering alerts. List all NWS weather alert types available

03

get_alerts_by_point

Internally resolves the location to find active alerts in that area. Get active weather alerts for a specific US latitude/longitude

04

get_alerts_by_zone

g., TXZ211, FLZ050). Zone IDs can be found via the get_point_metadata tool. Useful for focused monitoring of a specific area. Get active weather alerts for a specific NWS zone

05

get_aurora_forecast

Powered by real-time solar wind data. The gold standard for aurora forecasting worldwide. Get the aurora probability forecast map data (Ovation model)

06

get_aviation_station

Use ICAO codes (KJFK, EGLL, LFPG, SBGR). Get aviation weather station information by ICAO code

07

get_climate_normals

This is the statistical baseline that defines "normal" weather for any location. Get 30-year climate normals — the baseline for what is "normal" weather

08

get_currents

Available at select CO-OPS stations with current meters. Get observed ocean current speed and direction at a US coastal station

09

get_daily_data

This is the planet's largest archive of daily weather records. Filter by station, data types (TMAX, TMIN, PRCP, SNOW, SNWD), and date range. Stations are worldwide but densest coverage is in the US. Get daily weather data (GHCN-Daily): temperatures, precipitation, snow

10

get_dst_index

Measures the intensity of the ring current around Earth. Values below -50 nT indicate a moderate storm, below -100 nT a strong storm, below -250 nT a severe storm. Critical for satellite operators and power grid monitoring. Get the Dst index — real-time geomagnetic storm intensity

11

get_forecast

Provide latitude and longitude for any US location. Returns high/low temps, wind speed/direction, precipitation probability, and detailed narrative. Get 7-day weather forecast for a US location by latitude and longitude

12

get_forecast_discussion

Use the 3-letter WFO code (e.g., OKX=New York, LAX=Los Angeles, MFL=Miami). Lists recent product IDs — retrieve the latest for full text. Get the Area Forecast Discussion (AFD) from a NWS Weather Forecast Office

13

get_grid_data

Useful for programmatic analysis. US only. Get raw NWS grid weather data: temperature, precipitation, wind, humidity arrays

14

get_hourly_forecast

5 days. Includes temperature, wind, humidity, precipitation, and sky condition for each hour. US locations only. Get hour-by-hour weather forecast (156 hours) for a US location

15

get_k_index_forecast

Use this to plan for aurora viewing, satellite vulnerabilities, or HF radio propagation impacts. Get the 3-day Kp index forecast — predicted geomagnetic activity

16

get_latest_observation

Provide a 4-character station ID such as KJFK, KLAX, KORD, KDFW. Get current weather conditions from a specific NWS station

17

get_metar

Provide ICAO codes comma-separated (KJFK, EGLL, LFPG). Returns temperature, wind, visibility, clouds, pressure, weather phenomena. Optionally retrieve past hours of data. Get METAR (current airport weather) for any airport worldwide by ICAO code

18

get_meteorological

Complements water-level data for a complete coastal picture. Get coastal meteorological data: air temp, wind, pressure at a station

19

get_monthly_summary

Monthly aggregates of temperature averages, precipitation totals, and degree days. Less granular than daily but ideal for climate trend analysis. Get monthly climate summary (GSOM): average temp, total precipitation, heating degree days

20

get_observation_history

Useful for seeing temperature trends, wind changes, and weather evolution over recent hours. Get recent observation history for a NWS station

21

get_pirep

Filter by age (hours). Get PIREPs (Pilot Reports) for turbulence, icing, and weather conditions

22

get_planetary_k_index

Kp ranges 0-9. Values ≥5 indicate geomagnetic storms with visible aurora at lower latitudes. Updated every 3 hours. Essential for aurora hunters, satellite operators, and power grid managers. Get the NOAA Planetary K-index — geomagnetic activity and aurora probability

23

get_point_metadata

US locations only. Get NWS metadata for a US location: responsible WFO, grid coordinates, zones

24

get_radar_stations

List all NWS radar stations and their status

25

get_sea_level_trends

Shows long-term relative sea level trends calculated from decades of tide gauge data. Critical for climate research. Get long-term sea level rise trends for a US coastal station

26

get_sigmet

These define areas of significant weather hazards for aviation: convection, turbulence, icing, IFR conditions, mountain obscuration. Get SIGMETs and AIRMETs — significant aviation weather hazards

27

get_solar_flux

7 solar flux index. Higher values (>100 SFU) indicate increased solar activity, more sunspots, and higher probability of solar flares and CMEs. Normal quiet-sun values are 70-80 SFU. Get the 10.7cm solar radio flux — a proxy for solar activity level

28

get_solar_wind

The solar wind drives geomagnetic storms — when speed exceeds 500 km/s with southward Bz, aurora probability increases dramatically. Get real-time solar wind speed and magnetic field conditions

29

get_station_metadata

Useful for understanding where a station is and what data it provides. Get metadata about a specific NWS weather station

30

get_stations

Each station has a 4-character ID (e.g., KJFK, KLAX). US only. Use station IDs with get_latest_observation. Find nearby NWS weather observation stations by latitude/longitude

31

get_taf

Includes forecast groups with wind, visibility, clouds, and weather changes. ICAO codes only. Get TAF (airport weather forecast) for any airport worldwide by ICAO code

32

get_tide_predictions

Provides predicted high and low tide times and heights. Useful for fishing, boating, coastal activities. Default is next 48 hours. Get tide predictions (hi/lo) for a US coastal station

33

get_water_levels

Data in meters relative to station datum. Provide a CO-OPS station ID (e.g., 8518750 for The Battery, NYC; 9414290 for San Francisco). Get observed water levels (tides) at a US coastal station

34

get_water_temperature

Useful for marine biology, fishing, surfing, and coastal research. Get water temperature at a US coastal station

35

get_yearly_summary

Yearly temperature averages, precipitation totals, and extreme values. Perfect for long-term climate analysis spanning decades. Get annual climate summary (GSOY): yearly averages and extremes

36

search_stations

Returns station IDs, names, and locations for use with other climate tools. Search NCEI weather stations by location bounding box or keyword

Example Prompts for NOAA Full — Ultimate Weather & Climate Intelligence in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with NOAA Full — Ultimate Weather & Climate Intelligence immediately.

01

"Full weather briefing: NYC forecast, alerts, airport conditions, and tides"

02

"Is there any space weather activity and can I see the aurora?"

Troubleshooting NOAA Full — Ultimate Weather & Climate Intelligence MCP Server with Google ADK

Common issues when connecting NOAA Full — Ultimate Weather & Climate Intelligence to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

NOAA Full — Ultimate Weather & Climate Intelligence + Google ADK FAQ

Common questions about integrating NOAA Full — Ultimate Weather & Climate Intelligence 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 NOAA Full — Ultimate Weather & Climate Intelligence to Google ADK

Get your token, paste the configuration, and start using 36 tools in under 2 minutes. No API key management needed.