PeakWindow MCP App
An MCP server that analyzes upcoming weather at alpine peaks and trailheads worldwide, ranking the best windows for climbing and ascent using high-resolution forecast models.
README
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).
<p align="center"> <a href="https://byteoverdev.github.io/peak-window-mcp-app/"> <img src="screenshot.png" alt="PeakWindow UI" width="700" /> </a> </p>
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 |
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.