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
Servidores relacionados
EU compliance - complisec
EU NIS2/GDPR compliance skill for agents
Agent Central
Hosted MCP server for Amazon sellers using Claude, ChatGPT, and other AI clients.
OpenDART MCP
orean corporate disclosure & financial data from DART (금융감독원 전자공시시스템). Search companies, filings, and financial statements via OpenDART API.
Context-Fabric
Corpus search and linguistic analysis for AI Agents
Drand
An MCP server for fetching verifiable random numbers from the drand network.
anneal-memory
Two-layer memory for AI agents with an immune system — episodes compress into identity through citation-validated graduation. Zero dependencies, 5 MCP tools.
UK AI Bill 2026 Compliance MCP
UK AI Safety Institute compliance checks for the AI (Regulation) Bill 2026 — risk classification, mandatory incident reporting, sandbox eligibility, and regulatory readiness assessments.
mcp-datadog-server
Datadog MCP Server
OSINT MCP
Real-time OSINT intelligence platform for global security monitoring.
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.