GFS ensemble weather signals for prediction market edge detection across 12 cities
uvx nephyr-weatherAdd this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
{
"mcpServers": {
"io-github-clm-studios-nephyr-weather": {
"command": "uvx",
"args": [
"nephyr-weather"
]
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonNo remote HTTP endpoint is advertised. Use the package or stdio setup shown in Install.
Nephyr Weather is an MCP server for GFS ensemble weather signals for prediction market edge detection across 12 cities. It supports STDIO transport.
Use the generated config in Install. This server runs with uvx nephyr-weather; add any required environment variables before starting your client.
Choose the Claude Desktop tab in Install and copy the config for uvx nephyr-weather. Add required environment variables before starting Claude Desktop.
Choose the Claude Code tab in Install and copy the config for uvx nephyr-weather. Add required environment variables before starting Claude Code.
Choose the Codex tab in Install and copy the config for uvx nephyr-weather. Add required environment variables before starting Codex.
Choose the Cursor or VS Code tab in Install and copy the config for uvx nephyr-weather. Add required environment variables before starting Cursor or VS Code.
Nephyr Weather uses STDIO transport. Use the package or command config in Install.
Nephyr Weather inventory is listed when the MCP endpoint exposes tools, resources, or prompts. Some servers require auth first.
Nephyr Weather does not advertise a verified auth requirement. If discovery fails, it may still need provider login, an API key, a bearer token, or a session header.
| Package | Registry | Version | Inputs |
|---|---|---|---|
nephyr-weatherstdio | pypi | 0.1.1 | None advertised |