How do I find my Caiyun Weather Token?

Log in to the [Caiyun Weather Open Platform](https://open.caiyunapp.com/), navigate to the 'Application Management' (应用管理) section to find your unique API Token.

What is the coordinate format for location?

Caiyun uses the format `[Longitude],[Latitude]`. For example, Beijing is approximately `116.40,39.90`. It is important to put the Longitude first.

Which coordinate system should I use?

Caiyun natively supports GCJ-02 coordinates, which is the standard system for maps in mainland China. Ensure your coordinates are in this format for maximum accuracy.

Caiyun Weather / 彩云天气 MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Caiyun Weather / 彩云天气
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Caiyun Weather / 彩云天气 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Caiyun Weather / 彩云天气 "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Caiyun Weather / 彩云天气?"
    )
    print(result.data)

asyncio.run(main())

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About Caiyun Weather / 彩云天气 MCP Server

Empower your AI agent to orchestrate your environmental monitoring and high-precision weather forecasting with Caiyun Weather (彩云天气), the pioneer of minute-level precipitation forecasting in China. By connecting Caiyun to your agent, you transform complex meteorological data, air quality auditing, and long-term forecasts into a natural conversation. Your agent can instantly retrieve real-time conditions for any coordinate, provide hyper-local rain alerts for the next two hours, and audit historical or forecast trends without you ever needing to navigate a weather map. Whether you are planning outdoor logistics or monitoring air quality for retail branches, your agent acts as a real-time environmental coordinator, providing accurate and fast results from a single, authorized source.

Pydantic AI validates every Caiyun Weather / 彩云天气 tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Minute-Precision Rain — Access hyper-local precipitation forecasts for the next 120 minutes with high resolution.
Real-time Auditing — Retrieve current temperature, humidity, visibility, and wind conditions for specific coordinates.
Air Quality Monitoring — Access real-time AQI and pollutant data (PM2.5, PM10) across mainland China.
Long-term Forecasting — Retrieve detailed hourly and daily weather trends for up to 15 days.
Geographic Flexibility — Query any location using Longitude,Latitude (GCJ-02) or administrative codes.

The Caiyun Weather / 彩云天气 MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 Caiyun Weather / 彩云天气 to Pydantic AI via MCP

Follow these steps to integrate the Caiyun Weather / 彩云天气 MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Caiyun Weather / 彩云天气 with type-safe schemas

Why Use Pydantic AI with the Caiyun Weather / 彩云天气 MCP Server

Pydantic AI provides unique advantages when paired with Caiyun Weather / 彩云天气 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Caiyun Weather / 彩云天气 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Caiyun Weather / 彩云天气 connection logic from agent behavior for testable, maintainable code

Caiyun Weather / 彩云天气 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Caiyun Weather / 彩云天气 MCP Server delivers measurable value.

Type-safe data pipelines: query Caiyun Weather / 彩云天气 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Caiyun Weather / 彩云天气 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Caiyun Weather / 彩云天气 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Caiyun Weather / 彩云天气 responses and write comprehensive agent tests

Caiyun Weather / 彩云天气 MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Caiyun Weather / 彩云天气 to Pydantic AI via MCP:

get_aqi_info

Get air quality index

get_daily_forecast

Get daily weather forecast

get_hourly_forecast

Get hourly weather forecast

get_minutely_rain

Get minute-precision rain

get_precipitation_probability

Check rain probability

get_realtime_weather

Get real-time weather

get_visibility_data

Get visibility distance

get_wind_conditions

Get wind speed and direction

Example Prompts for Caiyun Weather / 彩云天气 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Caiyun Weather / 彩云天气 immediately.

"What is the real-time weather at coordinates 121.47,31.23 (Shanghai)?"

"Will it rain in the next 2 hours at 116.40,39.90 (Beijing)?"

"Check the air quality index for coordinates 113.26,23.12 (Guangzhou)."

Troubleshooting Caiyun Weather / 彩云天气 MCP Server with Pydantic AI

Common issues when connecting Caiyun Weather / 彩云天气 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Caiyun Weather / 彩云天气 + Pydantic AI FAQ

Common questions about integrating Caiyun Weather / 彩云天气 MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Caiyun Weather / 彩云天气 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.