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Weather Edge MCP Server

@RJW34

代码仓库

基本信息

分类

媒体与设计

许可证

MIT

传输方式

stdio

作者

RJW34

提交者

RJW34

关于 Weather Edge MCP Server

MCP server for calibrated weather prediction market signals (Kalshi). Dual-model NWS + GFS ensemble forecasting.

Weather Edge MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "weather-edge": {
      "command": "python",
      "args": [
        "-m",
        "weather_edge_mcp"
      ]
    }
  }
}

Weather Edge MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Weather Edge MCP?

Weather Edge MCP is an MCP server that provides calibrated Kalshi weather‑market signals. It combines public National Weather Service forecasts and Kalshi market prices into a compact tool surface for AI agents.

How to use Weather Edge MCP?

Install via pip install weather-edge-mcp. Configure it in Claude Desktop by adding the command python -m weather_edge_mcp to your MCP server list. For other clients, run weather-edge-mcp or python -m weather_edge_mcp with optional transport flags (--transport stdio, --transport sse --port 8050, or --transport streamable-http --port 8050).

Key features of Weather Edge MCP

  • Calibrates NWS daily high‑temperature forecasts by city
  • Reads current Kalshi weather market prices
  • Estimates per‑bucket probability, edge, and net expected value
  • Exposes five MCP tools for AI agent consumption
  • Ships an optional FastAPI web app with health and dashboard routes
  • Supports multiple transports: stdio, SSE, and streamable HTTP

Use cases of Weather Edge MCP

  • An AI agent can fetch calibrated weather signals for a single city before making a market decision.
  • A dashboard can query all supported cities at once to view market opportunities.
  • Developers can retrieve bias‑adjusted forecast context to inform custom analyses.
  • Automated trading bots can integrate real‑time METAR observations and Kalshi prices.

常见问题

1

What are the supported cities?

Weather Edge MCP currently supports five cities: nyc, chicago, denver, miami, and la.

2

How is Weather Edge MCP installed?

Install it with `pip install weather-edge-mcp`. No additional configuration is required for basic use.

3

What transport options are available?

The server can be run in stdio mode (default), SSE mode (`--transport sse --port 8050`), or streamable HTTP mode (`--transport streamable-http --port 8050`). The stdio mode stays clean and side‑effect free.

4

Does Weather Edge MCP require authentication?

MCP stdio mode requires no authentication. The optional FastAPI web app can be gated with the x402 stack if that module is installed and configured.

5

What data sources does Weather Edge MCP use?

It uses the National Weather Service forecast API, the Aviation Weather METAR API, and the Kalshi public market API. No data is stored locally.

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