Avalanche.org
MCP server for looking up avalanche danger ratings, historic avalanche forecasts, and forecast GeoJSON from the Avalanche.org Public API. Not affiliated with Avalanche.org
avalanche-org-mcp-server
A minimal Model Context Protocol (MCP) server that wraps the Avalanche.org Public API map-layer endpoints. It lets LLMs look up avalanche danger ratings by location, retrieve raw forecast GeoJSON, and query historic conditions.
Features
- Danger lookup by lat/lon — find the avalanche zone for any point and get its current danger rating
- Historic danger lookup — same as above, but for a specific past date
- Raw map-layer GeoJSON — full FeatureCollection for all avalanche centers, or scoped to one center
Data sourced from the Avalanche.org Public API. See the API docs for details.
Quick Start
Claude Desktop (npx — recommended)
Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"avalanche-org": {
"command": "npx",
"args": ["-y", "avalanche-org-mcp-server"]
}
}
}
No install required. Claude will download and run it automatically.
Global npm install
npm install -g avalanche-org-mcp-server
{
"mcpServers": {
"avalanche-org": {
"command": "avalanche-org-mcp-server"
}
}
}
Docker
docker pull ghcr.io/haydenwade/avalanche-org-mcp-server:latest
{
"mcpServers": {
"avalanche-org": {
"command": "docker",
"args": ["run", "--rm", "-i", "ghcr.io/haydenwade/avalanche-org-mcp-server:latest"]
}
}
}
From source
git clone https://github.com/haydenwade/avalanche-org-mcp-server.git
cd avalanche-org-mcp-server
npm install
npm run build
{
"mcpServers": {
"avalanche-org": {
"command": "node",
"args": ["/absolute/path/to/avalanche-org-mcp-server/dist/src/index.js"]
}
}
}
Tools
avalanche_danger_rating_by_point
Get the current avalanche danger rating for a lat/lon point. Returns the zone the point falls in, or the nearest zone if preferNearest is true.
| Parameter | Type | Required | Description |
|---|---|---|---|
lat | number | yes | Latitude in decimal degrees |
lon | number | yes | Longitude in decimal degrees |
preferNearest | boolean | no | Fall back to nearest zone if point is outside all polygons (default: true) |
centerId | string | no | Scope search to a specific avalanche center (e.g. "UAC", "CBAC") |
Example input:
{ "lat": 40.5763, "lon": -111.7522, "preferNearest": true, "centerId": "UAC" }
Example output
{
"match": "inside_zone",
"distance_km": 0,
"distance_miles": 0,
"zone": {
"id": "zone-1",
"name": "Salt Lake",
"state": "UT"
},
"center": {
"id": "UAC",
"name": "Utah Avalanche Center",
"timezone": "America/Denver",
"link": "https://utahavalanchecenter.org"
},
"danger": {
"level": 3,
"label": "Considerable",
"color": "#f1a302"
},
"travel_advice": "Dangerous avalanche conditions. Careful snowpack evaluation, cautious route-finding and conservative decision-making essential.",
"forecast_url": "https://utahavalanchecenter.org/forecast/salt-lake",
"validity": {
"start_date": "2026-03-22",
"end_date": "2026-03-23"
},
"warning": null
}
historic_avalanche_danger_rating_by_point
Same as above, but for a specific historic date. Returns all the same fields plus day.
| Parameter | Type | Required | Description |
|---|---|---|---|
lat | number | yes | Latitude in decimal degrees |
lon | number | yes | Longitude in decimal degrees |
day | string | yes | Date in YYYY-MM-DD format |
preferNearest | boolean | no | Fall back to nearest zone (default: true) |
centerId | string | no | Scope to an avalanche center |
Example input:
{ "lat": 40.5763, "lon": -111.7522, "day": "2025-02-24", "preferNearest": true }
Example output
{
"match": "inside_zone",
"distance_km": 0,
"distance_miles": 0,
"zone": { "id": "zone-1", "name": "Salt Lake", "state": "UT" },
"center": { "id": "UAC", "name": "Utah Avalanche Center", "..." : "..." },
"danger": { "level": 3, "label": "Considerable", "color": "#f1a302" },
"travel_advice": "Dangerous avalanche conditions. ...",
"forecast_url": "https://utahavalanchecenter.org/forecast/salt-lake",
"validity": { "start_date": "2025-02-24", "end_date": "2025-02-25" },
"warning": null,
"day": "2025-02-24"
}
raw_map_layer
Returns the raw Avalanche.org map-layer GeoJSON FeatureCollection for all avalanche centers.
| Parameter | Type | Required | Description |
|---|---|---|---|
day | string | no | Historic date in YYYY-MM-DD format |
Example output
{
"geojson": {
"type": "FeatureCollection",
"features": [ "... full GeoJSON features ..." ]
}
}
raw_map_layer_by_avalanche_center
Returns the raw map-layer GeoJSON FeatureCollection for a single avalanche center.
| Parameter | Type | Required | Description |
|---|---|---|---|
centerId | string | yes | Avalanche center ID (e.g. "CBAC", "NWAC", "UAC") |
day | string | no | Historic date in YYYY-MM-DD format |
Example output
{
"geojson": {
"type": "FeatureCollection",
"features": [ "... full GeoJSON features ..." ]
}
}
Development
Requires Node.js >= 18.
npm install
npm run build
npm test
To interactively test tools with the MCP Inspector:
npx @modelcontextprotocol/inspector node dist/src/index.js
Project structure
src/
index.ts # Entry point — server setup + stdio transport
tools.ts # Tool registration
constants.ts # API URLs and timeouts
types.ts # GeoJSON type definitions
api/
mapLayer.ts # Map-layer fetch + GeoJSON normalization
lib/
geometry.ts # Point-in-polygon, haversine distance, bounds
dangerLookup.ts # Danger rating lookup logic
validation.ts # Date and coordinate validation
test/
*.test.ts # Tests (node:test)
Contributing
- Fork the repo
- Create a feature branch (
git checkout -b my-feature) - Make your changes and add tests
- Run
npm testto make sure everything passes - Open a pull request
License
MIT
関連サーバー
BlackHawkMCP
### Google Sheets - [BlackHawkMCP](https://g📇 ☁️ - MCP server connecting AI to Google Sheets. Read, write, and manage spreadsheets via natural language.
GiveReady
Search 41,000+ verified nonprofits across 29 cause areas, submit enrichments back to thin profiles, and donate via x402 USDC with zero platform fees.
IPMA MCP Server
Access meteorological data for Portugal from the IPMA public API using natural language.
Guesty MCP Server
First MCP server for Guesty property management. 38 tools for reservations, guests, messaging, pricing, financials, calendars, reviews, tasks, and webhooks. Free tier with 23 tools, Pro tier with all 38.
Policy Layer
Non-custodial spending controls for AI agent wallets — enforce limits, allowlists, and kill switches before transactions execute.
PromptScan
Prompt injection detection API for AI agents — scan untrusted text before passing it to an LLM.
ChatSpatial
MCP server for spatial transcriptomics analysis with 60+ integrated methods
PolicyLayer MCP
Non-custodial spending controls for AI agent crypto wallets — enforce daily limits, per-tx caps, and recipient whitelists.
Suppr-MCP (超能文献)
Suppr - AI-powered document translation and academic search service. Supports high-quality translation of PDF, DOCX, PPTX and other formats in 11 languages with optimized mathematical formula handling. Includes PubMed-integrated intelligent literature search for researchers. https://suppr.wilddata.cn/
Vibe Ads
I-powered Google Ads manager for local service businesses. 37 categories. 5-minute setup. $20/mo.