CWA MCP Server

The CWA MCP Server is a lightweight Node.js implementation that bridges Claude Desktop with Taiwan’s Central Weather Bureau (CWB) public API. By exposing a single tool, , it allows developers to retrieve 36‑hour weather predictions for any of Taiwan’s counties and cities directly within an AI conversation. This eliminates the need to manually query the CWB API or build custom adapters, making real‑time meteorological data readily available to AI assistants.

At its core, the server solves a common integration problem: connecting an AI platform to a regional data source that requires authentication and has a non‑standard API shape. The CWB API demands an API key, returns XML/JSON responses, and uses region names as query parameters. The MCP server abstracts these details behind a simple JSON‑over‑HTTP interface, letting Claude issue natural language requests like “What’s the weather in Taipei?” and receive a concise forecast without exposing credentials or parsing logic.

Key capabilities include:

• Full coverage of Taiwan’s administrative regions – every county and city listed by the CWB is supported, so developers can target any location in a single request.
• Automatic API key handling – the server reads the key from an environment variable, keeping secrets out of source code and allowing secure deployment in Docker or other containerized environments.
• Docker‑ready operation – a ready‑to‑use lets teams spin up the server in isolated containers, simplifying CI/CD pipelines and ensuring consistent runtime environments.

Typical use cases span weather‑aware chatbots, travel assistants, agriculture advisories, and emergency response tools. For example, a travel planner could ask Claude for the upcoming weather in Hualien and receive a 36‑hour forecast that informs itinerary adjustments. In agriculture, a farmer’s assistant could monitor temperature and precipitation trends to optimize planting schedules.

Integration into AI workflows is straightforward: add the server’s command configuration to , restart Claude, and begin issuing natural language queries. The MCP protocol handles request routing, authentication, and response formatting automatically, allowing developers to focus on higher‑level application logic rather than boilerplate networking code. The server’s minimal footprint and clear, documented configuration make it an attractive choice for teams needing reliable, localized weather data within their AI‑powered services.