How to Use the Weatherbit Alternative MCP in Google ADK

Build enterprise agents with Google ADK on the Weatherbit Alternative MCP Server. Connect weather data directly to BigQuery and Vertex AI.

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Connect Weatherbit Alternative MCP to Google ADK

Create your Vinkius account to connect Weatherbit Alternative 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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Setup Weatherbit Alternative with Google ADK

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Claude

Perplexity

Analyze historical climate patterns.

Need deep context? You can run `get_daily_history` or even pull sub-hourly records using `get_subhourly_history`. These tools take start and end dates, giving you a massive dataset to analyze. For broader trends, use `get_normals` to access climate normals (1991–2020). This is perfect for grounding your Gemini models in long-term data that goes beyond simple forecasts.

Find any location quickly.

If you only have a city name or postal code, the agent doesn't get stuck. `get_geocode` handles this by providing precise geographical coordinates (lat/lon). This is essential before calling any other weather tool. You can even use `get_current_weather` with station names if that's where your data originates.

Get detailed atmospheric measurements.

The server supports specialized metrics beyond basic temperature. You can check for lightning observations using `get_current_lightning`, which requires lat/lon. Air quality is covered too; the agent runs `get_current_airquality` to get readings on CO, SO2, NO2, and O3 alongside the AQI.

Setup guide

Set up Weatherbit Alternative 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

Install Google ADK

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

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

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 Weatherbit Alternative 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="Weatherbit Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Weatherbit Alternative tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Weatherbit Alternative MCP in Google ADK

The framework treats the weather server as one of its available toolsets. Since you're already in the Google Cloud ecosystem, your agent can run complex reasoning over both BigQuery data and live weather metrics.

Yes. The server is designed to handle high volumes of calls, perfect for enterprise use cases where you're building agents that act on data in BigQuery.

It provides a mix of structured data: geographical coordinates (lat/lon), date ranges, and specific weather metrics like PM10 concentrations. The outputs are ready for direct ingestion into BigQuery.

Not really. You just pass the server as a toolset. Gemini models handle the necessary context passing, so you focus on what you want to achieve, not how to format the API call.

The server primarily touches geographical coordinates (lat/lon) and historical weather metrics. Vinkius handles the authentication layer, keeping your endpoints secure while you use the MCP Server.

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