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How to Use the NCDC Climate Data Online MCP in Google ADK

Feed historical weather records directly into BigQuery and Gemini using the google-adk and MCP.

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Google ADK

Connect NCDC Climate Data Online MCP to Google ADK

Create your Vinkius account to connect NCDC Climate Data Online to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Connect NCDC Climate Data Online to Gemini via MCP Server.

The `get_climate_data` tool feeds raw weather records directly into Gemini's long-context window. Gemini models handle over a million tokens of context, which is perfect for processing raw climate records. This setup lets your google-adk agent fetch years of weather data without hitting limits. The google-adk agent uses `list_data_types` to figure out what variables are tracked, then pulls the actual records. Because the ADK handles long contexts natively, you can analyze decades of temperature trends from `get_station` in a single prompt.

Pipeline weather data directly into BigQuery.

Connecting `get_climate_data` to BigQuery lets your google-adk agent build automated weather data pipelines. The agent queries weather records, formats the JSON payload, and writes it directly to BigQuery tables. It uses `list_datasets` to verify which historical database it is pulling from, ensuring the schema matches your BigQuery destination. You get an automated, agent-driven ETL pipeline for climate analytics without writing boilerplate integration code.

Filter exposed tools to control agent focus.

Filtering tools like `list_stations` and `get_climate_data` allows you to control exactly what your google-adk agent can query. Sometimes you do not want your agent browsing every single weather station globally. You can restrict its focus using the tool names filter in McpToolset. This prevents the google-adk agent from wasting execution steps on `list_location_categories` when it only needs to pull data for a specific ZIP code. It keeps your enterprise agent fast, predictable, and focused on your core weather analysis.

Setup guide

Set up NCDC Climate Data Online MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with NCDC Climate Data Online tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="NCDC Climate Data Online_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NCDC Climate Data Online tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NCDC Climate Data Online. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about NCDC Climate Data Online MCP in Google ADK

Use pip install google-adk to get the library. Then, wrap your Vinkius HTTP endpoint in McpToolset and pass it to your LlmAgent tools array.
Yes. Use the tool_names filter in your McpToolset configuration to expose only specific tools like get_climate_data or get_station.
Yes. You can connect to this MCP Server using either transport method, though the managed Vinkius HTTP endpoint is the easiest way to handle authentication.
Extremely well. Gemini's massive context window in the google-adk easily swallows the dense JSON arrays returned by get_climate_data without hitting token limits.
Your NCDC API key is stored securely in Vinkius's zero-trust vault. It is injected into the MCP Server environment at runtime, so your google-adk environment never exposes the raw key.

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