How do I find my QWeather API Key?

Log in to the [QWeather Developer Console](https://dev.qweather.com/), create a project, and your API Key will be displayed in the project settings. Ensure you select the correct key type (Web API).

What is the difference between dev and commercial plans?

The 'dev' plan uses `devapi.qweather.com` and has limited data frequency and locations. Commercial plans (standard/premium) use `api.qweather.com` and provide higher resolution data and broader global coverage. Set your `qweather_plan` in the credentials to use the correct endpoint.

Can I query weather by coordinates?

Yes! You can pass coordinates in the format `longitude,latitude` (e.g., '116.41,39.92') to any tool that accepts a `location` parameter.

QWeather / 和风天气 MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: QWeather / 和风天气
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add QWeather / 和风天气 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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="qweather_agent",
    instruction=(
        "You help users interact with QWeather / 和风天气 "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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 QWeather / 和风天气 MCP Server

Empower your AI agent to orchestrate your daily planning and environmental monitoring with QWeather (和风天气), the premier commercial weather platform in China. By connecting QWeather to your agent, you transform complex meteorological data and location-based environmental searches into a natural conversation. Your agent can instantly retrieve real-time weather, 15-day forecasts, air quality indices, severe weather warnings, and astronomical data without you ever needing to navigate a technical dashboard. Whether you are planning outdoor operations or auditing air quality across different regions, your agent acts as a real-time environmental consultant, providing accurate and fast results from a single, unified source.

Google ADK natively supports QWeather / 和风天气 as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Weather Orchestration — Retrieve current weather and detailed forecasts (up to 15 days) for any location worldwide.
Air Quality Auditing — Monitor real-time AQI, PM2.5, and PM10 levels to ensure safe operating conditions.
Life Index Insights — Access specialized indices for UV radiation, clothing recommendations, and car washing suitability.
Warning Monitoring — Audit active severe weather warnings to maintain safety and organizational continuity.
Geographic Discovery — Search for location IDs and coordinates using keywords to refine your regional tracking.

The QWeather / 和风天气 MCP Server exposes 10 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 QWeather / 和风天气 to Google ADK via MCP

Follow these steps to integrate the QWeather / 和风天气 MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from QWeather / 和风天气 via MCP

Why Use Google ADK with the QWeather / 和风天气 MCP Server

Google ADK provides unique advantages when paired with QWeather / 和风天气 through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with QWeather / 和风天气

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine QWeather / 和风天气 tools with BigQuery, Vertex AI, and Cloud Functions

QWeather / 和风天气 + Google ADK Use Cases

Practical scenarios where Google ADK combined with the QWeather / 和风天气 MCP Server delivers measurable value.

Enterprise data agents: ADK agents query QWeather / 和风天气 and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine QWeather / 和风天气 tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query QWeather / 和风天气 regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including QWeather / 和风天气

QWeather / 和风天气 MCP Tools for Google ADK (10)

These 10 tools become available when you connect QWeather / 和风天气 to Google ADK via MCP:

get_air_now

5, etc.). Get current air quality

get_indices

Get daily life indices

get_moon_astronomy

Get moonrise and moonset times

get_sun_astronomy

Get sunrise and sunset times

get_warning

Get weather warnings

get_weather_24h

Get 24-hour weather forecast

get_weather_3d

Get 3-day weather forecast

get_weather_7d

Get 7-day weather forecast

get_weather_now

Get current weather

lookup_location

Search for location ID

Example Prompts for QWeather / 和风天气 in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with QWeather / 和风天气 immediately.

"What is the current weather in Beijing (101010100)?"

"Check the air quality for Shanghai today."

"Find the location ID for 'Hangzhou'."

Troubleshooting QWeather / 和风天气 MCP Server with Google ADK

Common issues when connecting QWeather / 和风天气 to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

QWeather / 和风天气 + Google ADK FAQ

Common questions about integrating QWeather / 和风天气 MCP Server with Google ADK.

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.

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.

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.