How to Use the Caiyun Weather / 彩云天气 MCP in Google ADK

Q: How do I set up Caiyun Weather / 彩云天气 inside Google ADK?

Install the ADK package and initialize McpToolset with your Vinkius HTTP endpoint. Pass this toolset directly to your LlmAgent instance to make all eight weather tools available to Gemini via MCP.

Q: Can I use Caiyun Weather / 彩云天气 with Google ADK for long-context reasoning?

Yes. Gemini models can ingest weeks of data from getdailyforecast alongside your internal database records to find deep correlations.

Q: How do I limit which tools my Google ADK agent can access?

Use the native tool name filter when defining your McpToolset. This prevents the agent from calling tools like getwindconditions if you only want it to check rain.

Feed live China weather and air quality data directly into your Google ADK enterprise agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Caiyun Weather / 彩云天气 MCP to Google ADK

Create your Vinkius account to connect Caiyun Weather / 彩云天气 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.

GDPR Free for Subscribers

Setup Caiyun Weather / 彩云天气 with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Enterprise weather intelligence

By exposing `get_realtime_weather` and `get_hourly_forecast` through this MCP Server, your enterprise agents can cross-reference live weather with your BigQuery datasets. This lets your Gemini models analyze complex weather patterns and generate deep analytical reports without hitting token limits. Gemini's massive context window lets you feed days of hourly forecasts into a single prompt. It's a clean way to handle long-range planning based on real-time climate inputs.

Precise rain and wind triggers in Google ADK

The tools `get_minutely_rain`, `get_precipitation_probability`, and `get_wind_conditions` provide the raw metrics your agents need to make operational decisions. You can automate physical operations based on precise local conditions. You can restrict which tools are exposed to your Gemini agents using the ADK toolset filter. This ensures your agents only call the specific weather metrics they need for the task.

Air quality and visibility tracking

Your agents use `get_aqi_info` and `get_visibility_data` to pull immediate pollution indexes and distance metrics. This allows you to monitor regional air quality and clear-sky visibility across China. This data feeds directly into Vertex AI workflows. You can build automated alerts that trigger when air quality falls below safety thresholds in specific industrial zones.

Setup guide

Set up Caiyun Weather / 彩云天气 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 Caiyun Weather / 彩云天气 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="Caiyun Weather / 彩云天气_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Caiyun Weather / 彩云天气 tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Caiyun Weather / 彩云天气. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Caiyun Weather / 彩云天气 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Caiyun Weather / 彩云天气 MCP in Google ADK

Install the ADK package and initialize `McpToolset` with your Vinkius HTTP endpoint. Pass this toolset directly to your `LlmAgent` instance to make all eight weather tools available to Gemini via MCP.

Yes. Gemini models can ingest weeks of data from `get_daily_forecast` alongside your internal database records to find deep correlations.

This server supports both standard I/O and HTTP transports. Vinkius hosts the endpoint as a streamable HTTP service for easy cloud deployment.

Use the native tool name filter when defining your `McpToolset`. This prevents the agent from calling tools like `get_wind_conditions` if you only want it to check rain.

All weather coordinate requests are processed in memory within a zero-trust sandbox. Vinkius runs each MCP Server in a zero-trust sandbox to guarantee that no geographic location data or API payloads are persisted on disk.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript