Caiyun Weather
by marcusbai
Get real-time weather data and forecasts with Caiyun Weather API, ideal for travel planning and outdoor activities using
What it does
Provides real-time weather data and forecasts from Caiyun Weather API using geographic coordinates or location names.
About
Caiyun Weather is a community-built MCP server published by marcusbai that provides AI assistants with tools and capabilities via the Model Context Protocol. Get real-time weather data and forecasts with Caiyun Weather API, ideal for travel planning and outdoor activities using It is categorized under analytics data.
How to install
You can install Caiyun Weather in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
MIT
Caiyun Weather is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the Caiyun Weather MCP server?
- Caiyun Weather is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Caiyun Weather?
- This profile displays 46 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Build agents that actually work
Hands-on bootcamps on MCP, tool use, and multi-agent architectures — taught by practitioners.
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.6★★★★★46 reviews- ★★★★★James Farah· Dec 24, 2024
According to our notes, Caiyun Weather benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Nia Agarwal· Dec 20, 2024
Strong directory entry: Caiyun Weather surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Kofi Gonzalez· Dec 12, 2024
I recommend Caiyun Weather for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Dec 8, 2024
I recommend Caiyun Weather for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Anaya Desai· Dec 4, 2024
Useful MCP listing: Caiyun Weather is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Oshnikdeep· Nov 27, 2024
Strong directory entry: Caiyun Weather surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Nia Tandon· Nov 23, 2024
Caiyun Weather is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Kofi Thompson· Nov 11, 2024
I recommend Caiyun Weather for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Nia Wang· Nov 3, 2024
We wired Caiyun Weather into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Liam Khan· Oct 22, 2024
According to our notes, Caiyun Weather benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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