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NOAA Climate — Historical Weather Records MCP Server for Google ADK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add NOAA Climate — Historical Weather Records 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_climate_historical_weather_records_agent",
    instruction=(
        "You help users interact with NOAA Climate — Historical Weather Records "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)
NOAA Climate — Historical Weather Records
Fully ManagedVinkius Servers
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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 Climate — Historical Weather Records MCP Server

The planet's largest archive of daily weather records, freely accessible.

Google ADK natively supports NOAA Climate — Historical Weather Records as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 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

  • Daily Data (GHCN-D) — Temperature, precipitation, snow, wind for 100K+ stations
  • Monthly Summaries (GSOM) — Monthly aggregates
  • Annual Summaries (GSOY) — Yearly climate data
  • Climate Normals — 30-year baseline (1991-2020)
  • Station Search — Find stations by location or name

Global Coverage

GHCN-Daily has worldwide stations, with densest coverage in the US, Europe, and Australia.

The NOAA Climate — Historical Weather Records MCP Server exposes 5 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 Climate — Historical Weather Records to Google ADK via MCP

Follow these steps to integrate the NOAA Climate — Historical Weather Records 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 5 tools from NOAA Climate — Historical Weather Records via MCP

Why Use Google ADK with the NOAA Climate — Historical Weather Records MCP Server

Google ADK provides unique advantages when paired with NOAA Climate — Historical Weather Records 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 Climate — Historical Weather Records

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 Climate — Historical Weather Records tools with BigQuery, Vertex AI, and Cloud Functions

NOAA Climate — Historical Weather Records + Google ADK Use Cases

Practical scenarios where Google ADK combined with the NOAA Climate — Historical Weather Records MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query NOAA Climate — Historical Weather Records and cross-reference results with internal databases for comprehensive analysis

02

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

03

Automated compliance checks: schedule ADK agents to query NOAA Climate — Historical Weather Records 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 Climate — Historical Weather Records

NOAA Climate — Historical Weather Records MCP Tools for Google ADK (5)

These 5 tools become available when you connect NOAA Climate — Historical Weather Records to Google ADK via MCP:

01

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

02

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

03

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

04

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

05

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 Climate — Historical Weather Records in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with NOAA Climate — Historical Weather Records immediately.

01

"Get daily temperatures for Central Park, NYC in January 2024"

02

"Show me the total monthly precipitation for Seattle in 2023."

03

"What are the 30-year climate normals for Miami?"

Troubleshooting NOAA Climate — Historical Weather Records MCP Server with Google ADK

Common issues when connecting NOAA Climate — Historical Weather Records to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

NOAA Climate — Historical Weather Records + Google ADK FAQ

Common questions about integrating NOAA Climate — Historical Weather Records 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 Climate — Historical Weather Records to Google ADK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.