Peak Window

Name: Peak Window
Author: ByteOverDev

ByteOverDev/peak-window-mcp-app

3 repo stars
Updated May 30, 2026
ByteOverDev/peak-window-mcp-app

Peak Window is an MCP server that ranks optimal climb weather windows for peaks worldwide using regional forecast models.

About

Peak Window MCP Server ranks the best weather windows for climbing named peaks globally, leaning on the sharpest regional forecast model available for each area. developers making hiking planners, guide marketplaces, or newsletter-style outdoor content can expose this logic through an agent instead of hand-rolling multi-model weather math. The package ships on npm at version 1.0.2 with stdio transport when you pass --stdio, which suits Claude Code and Cursor MCP configs. It is a focused data integration: your app still owns UX, safety disclaimers, and rescue logistics. Confidence is moderate because the audience is narrower than generic dev tools, but the MCP contract is clear. Use it when peak-specific window scoring is a core feature rather than a one-off personal trip note.

Ranks best weather windows to climb peaks worldwide
Uses sharpest regional weather model per geography
npm package peak-window v1.0.2 with stdio via --stdio flag
GitHub source at ByteOverDev/peak-window-mcp-app
Fits adventure apps, trip planners, and niche outdoor agent assistants

Peak Window by the numbers

Data as of Jul 7, 2026 (Skillselion catalog sync)

terminal

claude mcp add peak-window -- npx -y peak-window

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repo stars	★ 3
Package	peak-window
Transport	STDIO
Auth	None
Last updated	May 30, 2026
Repository	ByteOverDev/peak-window-mcp-app ↗

What it does

Rank climb-friendly weather windows for any peak worldwide when building outdoor, travel, or adventure apps or content products.

Who is it for?

Best when you're shipping climbing, trekking, or expedition planning features and want MCP-native weather window ranking.

Skip if: Generic SaaS developers with no location-sensitive outdoor use cases.

What you get

Your agent returns ranked peak climb windows you can surface in planners, APIs, or content pipelines.

Ranked climb weather windows for requested peaks
Agent-ready forecast integration without custom model blending

By the numbers

npm package version 1.0.2
stdio mode enabled with named --stdio argument

README.md

PeakWindow MCP App

An MCP App that analyzes upcoming weather at alpine peaks and trailheads worldwide, ranking the best windows for climbing and ascent. Uses the best available forecast model for each region: GeoSphere Austria AROME (2.5 km) for Central Europe, MeteoSwiss ICON-CH2 (2 km) for the Alpine region, Météo-France AROME (2.5 km) for France, and Open-Meteo globally (~11 km).

What it does

Fetches hourly forecasts (temperature, precipitation, wind, gusts, cloud cover, snow line) from the best available provider for the requested coordinates
Automatically selects the highest-resolution model: GeoSphere (2.5 km, Central Europe), MeteoSwiss (2 km, Alpine region), Météo-France (2.5 km, France), or Open-Meteo (~11 km, global)
Falls through to the next provider on API failure for resilience
Lapse-corrects temperatures to summit elevation using model terrain derived from surface pressure (-6.5 °C/km)
Scores each hour against alpine climbing thresholds and identifies contiguous good-weather windows
Serves an interactive UI (React, uPlot charts) as an MCP App resource with horizon tape, mountain profile, and Ventusky-style chart panels

Requirements

This is an MCP App — it requires an MCP host that supports the Apps protocol to render its interactive UI. Compatible hosts include:

Claude Desktop (macOS / Windows)
ChatGPT (via OpenAI Apps SDK)
Any chat client implementing the MCP Apps spec

The server runs as a standard MCP server over stdio or SSE. The rich UI (charts, horizon tape, mountain profile) renders inline in any compliant host. Without one you still get the scored text output.

Live UI demo — fetches real forecasts in the browser; pick any peak to see its scored windows and real DEM silhouette.

Setup

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "peak-window": {
      "command": "npx",
      "args": ["-y", "peak-window", "--stdio"]
    }
  }
}

Then ask Claude something like: "What's the best weather window to climb Großglockner this week?"

HTTP server

npx peak-window        # starts on http://localhost:3001/mcp

Development

git clone https://github.com/ByteOverDev/peak-window-mcp-app.git
cd peak-window-mcp-app
npm install
npm run dev            # hot reload (UI + server)
npm run serve:stdio    # stdio transport

MCP tool

peak-window — provide lat, lon, and optionally peakName and summitElevationM. Returns scored hours, top weather windows, and a full time-series payload rendered by the embedded UI.

Data sources

Provider	Resolution	Coverage	Via
GeoSphere Austria	2.5 km	Central Europe (5.5–22.1°E, 43–51.8°N)	Direct API
MeteoSwiss ICON-CH2	2 km	Alpine region (0.5–16.5°E, 43–49.9°N)	Open-Meteo
Météo-France AROME	2.5 km	France & surrounds (-9–14°E, 38–55°N)	Open-Meteo
Open-Meteo	~11 km	Global	Direct API