a
A JSON-RPC-based weather query and forecast MCP tool
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: a. It is used for: A JSON-RPC-based weather query and forecast MCP tool Details: https://321skill.com/en/skills/a/
This Skill addresses the challenges developers face when integrating weather information into AI applications, such as inconsistent protocols and fragmented interfaces. In practice, developers often need to connect to multiple weather APIs simultaneously, handling different authentication methods and data formats, leading to high integration costs and maintenance difficulties. By encapsulating the JSON-RPC protocol, this tool standardizes weather queries, forecasts, and other functions into a unified MCP service, significantly lowering the barrier to entry.
Usage is straightforward: simply install the MCP server and start it, then configure the connection in an AI assistant that supports the MCP protocol (such as Claude or Cursor). After that, you can use natural language commands to query real-time weather, obtain forecasts for the coming days, or even customize meteorological data for specific locations. All interactions are handled via JSON-RPC, ensuring fast response times and structured results.
It is particularly suitable for developers who need to quickly add weather capabilities to AI applications, especially teams already using the MCP ecosystem. Whether building intelligent customer service, travel assistants, or automated workflows, this Skill provides plug-and-play weather data support. Backend developers and agent developers can use it as a data source for rapid integration into existing systems.
We recommend using this tool uniformly in scenarios requiring real-time weather data, such as daily briefing generation or travel planning reminders. Note that it primarily relies on external weather data sources, so a stable network connection is required, and it may be subject to third-party API call frequency limits and key quotas. It is advisable to apply for an API key in advance and configure the environment variables.
Key Features
Unlike directly calling APIs like OpenWeatherMap, it encapsulates the JSON-RPC interface via the MCP protocol, supports natural language interaction, and can be combined with other MCP tools (such as calendar or map) to enable more complex automation scenarios.
Limitations
Requires network connectivity, depends on external weather data sources (e.g., OpenWeatherMap), free-tier APIs may have call frequency limits (e.g., 60 calls per minute), and offline mode is not supported.
FAQ
Do I need to apply for an API key?
Yes, you need to obtain an API key from a weather data provider (e.g., OpenWeatherMap) and set it in the configuration.
Which cities are supported?
It supports major cities worldwide via city name or latitude/longitude queries; specific coverage depends on the backend data source.