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 CrewAI 8 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Caiyun Weather / 彩云天气 through Vinkius, pass the Edge URL in the `mcps` parameter and every Caiyun Weather / 彩云天气 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Caiyun Weather / 彩云天气 Specialist",
    goal="Help users interact with Caiyun Weather / 彩云天气 effectively",
    backstory=(
        "You are an expert at leveraging Caiyun Weather / 彩云天气 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Caiyun Weather / 彩云天气 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Caiyun Weather / 彩云天气 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Caiyun Weather / 彩云天气 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Caiyun Weather / 彩云天气

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Caiyun Weather / 彩云天气 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Caiyun Weather / 彩云天气 + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Caiyun Weather / 彩云天气 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Caiyun Weather / 彩云天气, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Caiyun Weather / 彩云天气 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Caiyun Weather / 彩云天气 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

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

These 8 tools become available when you connect Caiyun Weather / 彩云天气 to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Caiyun Weather / 彩云天气 + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.