How to Use the AccuWeather MCP in Google ADK

Q: How does Google ADK connect to the AccuWeather MCP Server?

Use the McpToolset class with your HTTP server parameters. It links the server's tools directly to your LlmAgent instance.

Q: Can I filter AccuWeather tools in my Google ADK agent?

Yes, pass an optional toolnames filter to your McpToolset. This limits the exposed capabilities to only what your agent needs.

Q: Does AccuWeather data work with Google ADK long-context models?

Absolutely. You can inject the results from getextendedforecast into the model's context. The model then reasons over the 15-day outlook.

Integrate AccuWeather into Google ADK. Build enterprise agents that reason over live weather data on Google Cloud.

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Connect AccuWeather MCP to Google ADK

Create your Vinkius account to connect AccuWeather 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 AccuWeather with Google ADK

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Google ADK agents using AccuWeather intelligence

Connect `get_weather_indices` to your Gemini-powered agents to assess conditions like flight delays or outdoor activity suitability. The model interprets these indices to make informed operational decisions. This MCP Server provides the data bridge for your enterprise workflows. Your agents can now factor in real-world weather constraints when they reason about your internal data.

Metric weather insights for Google ADK

Access `get_current_conditions_metric` to get precise Celsius and km/h values for your global operations. This avoids conversion errors and keeps your data clean for BigQuery ingestion. Use this tool to feed weather metrics directly into your cloud infrastructure. Your agents can now correlate local weather events with your internal performance logs.

Managing geographic targets in Google ADK

Call `search_location` to map user queries to accurate AccuWeather keys. Once you have the key, use `get_location_by_key` to pull administrative area and timezone data. This ensures your agents remain grounded in reality. By verifying the location coordinates first, you prevent your agents from acting on ambiguous weather information.

Setup guide

Set up AccuWeather 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 AccuWeather 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="AccuWeather_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AccuWeather tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AccuWeather. 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 AccuWeather MCP in Google ADK

Use the `McpToolset` class with your HTTP server parameters. It links the server's tools directly to your LlmAgent instance.

Yes, pass an optional tool_names filter to your `McpToolset`. This limits the exposed capabilities to only what your agent needs.

Absolutely. You can inject the results from `get_extended_forecast` into the model's context. The model then reasons over the 15-day outlook.

Vinkius handles your authentication via an endpoint token. Your private API credentials never touch the client-side code.

We use a zero-trust, ephemeral sandbox. Each request is isolated and purged after the call, ensuring your search history stays private.

Use it with your favorite AI tools

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