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

Q: Can I build a CrewAI team that reacts to real-time rain data from Caiyun Weather / 彩云天气?

Yes. Create a 'Monitor' agent that periodically calls getminutelyrain. If it detects rain, it can delegate a task to another agent in the crew, like a 'Communications' agent, to send an alert.

Q: What's a good crew structure for using Caiyun Weather / 彩云天气 in CrewAI for agricultural automation?

A good setup is a three-agent crew. One agent uses getdailyforecast to check for rain. A second agent uses getrealtimeweather to check temperature. A third 'Decision' agent takes their input to decide whether to activate an irrigation system.

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Connect Caiyun Weather / 彩云天气 MCP to CrewAI

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Setup Caiyun Weather / 彩云天气 with CrewAI

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Assign a Dedicated Weather Analyst Agent

Your CrewAI team can have an agent that specializes in weather analysis. Give this 'Weather Analyst' agent access to the Caiyun Weather tools like `get_daily_forecast` and `get_hourly_forecast`. Another agent, the 'Operations Coordinator', can then ask the analyst for a summary. This role-based approach keeps your main logic clean by delegating specific tasks.

Create a Weather Watchdog Crew

Use tools like `get_aqi_info` and `get_precipitation_probability` to constantly monitor environmental conditions. Set up a two-agent crew. A 'Scout' agent uses the Caiyun tools from this MCP server to check for air quality alerts or high rain probability. If a condition is met, it passes the data to a 'Notifier' agent, who then takes action. The whole process runs autonomously.

Plan Logistics with a Weather-Aware Crew

This server gives your agents access to `get_wind_conditions` and `get_visibility_data`. Imagine a logistics crew. The 'Planner' agent first checks the `get_daily_forecast`. If the weather is clear, it delegates to a 'Routing' agent. But if the forecast shows high winds or low visibility, the Planner can run a different task sequence, like delaying a shipment. CrewAI's sequential execution makes this kind of planning straightforward.

Setup guide

Set up Caiyun Weather / 彩云天气 MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Caiyun Weather / 彩云天气 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Caiyun Weather / 彩云天气 Analyst",
    goal="Access and analyze Caiyun Weather / 彩云天气 data via MCP.",
    backstory="Expert analyst with direct Caiyun Weather / 彩云天气 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Caiyun Weather / 彩云天气 transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Caiyun Weather / 彩云天气 Analyst",
        goal="Access and analyze Caiyun Weather / 彩云天气 data via MCP.",
        backstory="Expert analyst with direct Caiyun Weather / 彩云天气 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Caiyun Weather / 彩云天气 transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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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 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.

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Common questions about Caiyun Weather / 彩云天气 MCP in CrewAI

When defining your agent, pass the Vinkius URL for this MCP server to its `mcps` parameter. Other agents in the crew without this parameter won't have access to the Caiyun Weather tools.

Yes. Create a 'Monitor' agent that periodically calls `get_minutely_rain`. If it detects rain, it can delegate a task to another agent in the crew, like a 'Communications' agent, to send an alert.

A good setup is a three-agent crew. One agent uses `get_daily_forecast` to check for rain. A second agent uses `get_realtime_weather` to check temperature. A third 'Decision' agent takes their input to decide whether to activate an irrigation system.

You pass the Vinkius URL for the Caiyun Weather server directly into the `mcps` list when you define an agent. CrewAI will automatically fetch the available tools and make them available for that specific agent to use.

The Caiyun Weather server only receives the geographic coordinates your agent provides for the forecast. Authentication is handled by Vinkius through a single-use token system, which isolates your agent's core credentials from the data provider.

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