MCP server for CWA (中央氣象署) open data API — 36 tools across 7 weather data categories
MCP server for CWA (中央氣象署) open data API — 36 tools across 7 weather data categories. The mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.
MCP server for CWA (中央氣象署, Central Weather Administration) Open Data API. Provides 36 read-only tools across 7 weather data categories for AI agents such as Claude.
The server ships on PyPI as mcp-cwa, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
You will need one environment variable: CWA_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes.
This entry was verified against MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"mcp-cwa": {
"command": "python3",
"args": ["mcp_server.py"],
"cwd": "/path/to/mcp-cwa",
"env": {
"CWA_API_KEY": "CWA-your-authorization-code"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| CWA_API_KEY | Credential the server authenticates with. | Yes |
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