NWS (National Weather Service) MCP Server for Google ADKGive Google ADK instant access to 9 tools to Get Active Alerts, Get Active Alerts By Area, Get Alert, and more

Name: NWS (National Weather Service)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add NWS (National Weather Service) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The NWS (National Weather Service) MCP Server for Google ADK is a standout in the Data Analytics category — giving your AI agent 9 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="nws_national_weather_service_agent",
    instruction=(
        "You help users interact with NWS (National Weather Service) "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

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 NWS (National Weather Service) MCP Server

Connect to the National Weather Service (NWS) API to retrieve precise meteorological data for any US location. This server allows AI agents to fetch point-based grid information, detailed textual forecasts, hourly updates, and critical weather alerts.

Google ADK natively supports NWS (National Weather Service) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 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

Location Mapping — Convert coordinates into NWS grid points using get_point to unlock hyper-local data.
Forecasts — Get detailed textual and hourly forecasts for specific grid locations via get_forecast and get_hourly_forecast.
Weather Alerts — Monitor active watches, warnings, and advisories nationwide or by specific state/area with get_active_alerts and get_active_alerts_by_area.
Station Observations — Access real-time data from weather stations, including the latest atmospheric readings using get_latest_station_observation.

The NWS (National Weather Service) MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 NWS (National Weather Service) tools available for Google ADK

When Google ADK connects to NWS (National Weather Service) through Vinkius, your AI agent gets direct access to every tool listed below — spanning meteorological-data, weather-forecast, real-time-alerts, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get active alerts on NWS (National Weather Service)

Get all currently active weather alerts

get

Get active alerts by area on NWS (National Weather Service)

g., TX, FL, AMZ). Get active alerts for a specific area

get

Get alert on NWS (National Weather Service)

Get details for a specific weather alert

get

Get forecast on NWS (National Weather Service)

Get textual forecast for a specific grid location

get

Get hourly forecast on NWS (National Weather Service)

Get hourly forecast for a specific grid location

get

Get latest station observation on NWS (National Weather Service)

Get the latest observation for a specific station

get

Get point on NWS (National Weather Service)

Get NWS office and grid information for a latitude/longitude

get

Get station observations on NWS (National Weather Service)

Get observations for a specific station

get

Get stations on NWS (National Weather Service)

Get a list of all observation stations

Connect NWS (National Weather Service) to Google ADK via MCP

Follow these steps to wire NWS (National Weather Service) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 9 tools from NWS (National Weather Service) via MCP

Why Use Google ADK with the NWS (National Weather Service) MCP Server

Google ADK provides unique advantages when paired with NWS (National Weather Service) 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 NWS (National Weather Service)

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 NWS (National Weather Service) tools with BigQuery, Vertex AI, and Cloud Functions

NWS (National Weather Service) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the NWS (National Weather Service) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query NWS (National Weather Service) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine NWS (National Weather Service) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query NWS (National Weather Service) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including NWS (National Weather Service)

Example Prompts for NWS (National Weather Service) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with NWS (National Weather Service) immediately.

"What is the weather forecast for coordinates 34.0522, -118.2437?"

"Are there any active weather alerts in Texas right now?"

"Get the latest weather observation for station KLAX."

Troubleshooting NWS (National Weather Service) MCP Server with Google ADK

Common issues when connecting NWS (National Weather Service) to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

NWS (National Weather Service) + Google ADK FAQ

Common questions about integrating NWS (National Weather Service) MCP Server with Google ADK.

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.

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.

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.