# Weather Edge MCP Server

> Use this tool when you need to access calibrated weather probability signals for informed decision-making in prediction markets. The Weather Edge MCP Server solves the problem of identifying mispriced temperature markets by providing bias-corrected forecasts and edge signals through a dual-model forecasting approach. It takes in weather data and outputs edge signals for AI agents to leverage in weather prediction market intelligence.

Canonical page: https://skillsregistry.net/skills/rjw34-weather-edge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rjw34-weather-edge-mcp

## Description

Provides calibrated weather probability signals for Kalshi prediction markets by combining dual-model forecasting (NWS + GFS ensemble) to identify mispriced temperature markets. Enables AI agents to access bias-corrected forecasts and edge signals for weather prediction market intelligence.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/guko34xnvr)
- **Repository:** <https://github.com/RJW34/weather-edge-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rjw34-weather-edge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rjw34-weather-edge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rjw34-weather-edge-mcp/pull`

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