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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up NCDC Climate Data Online MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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
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