AI assistants are getting good at using tools. The harder problem has been finding the right one. Today we're closing that gap for snow data.
SnowSure now publishes an Agentic Resource Discovery (ARD) catalog. ARD is a new open protocol — backed by a working group including Google, Microsoft, Hugging Face, Cisco, Databricks, GitHub, Nvidia, Salesforce, ServiceNow, and Snowflake — that lets an AI client ask “what's available for this task?” and get back matching resources. It's the discovery layer that sits in front of MCP, OpenAPI, and agent runtimes: think of it as robots.txt and sitemap.xml, but for AI agents.
Our manifest lives at:
https://www.snowsure.ai/.well-known/ai-catalog.jsonIt advertises three SnowSure resources, each with natural-language example queries so discovery services can match real questions to the right capability:
- SnowSure MCP Server (
/mcp) — 17 tools for live conditions, 14-day multi-model forecasts, powder rankings, resort guides, webcams, and grounded Q&A. One URL, no install, no auth. - SnowSure REST API (OpenAPI) — resorts, ranked snow reports, leaderboards, trends, forecast-trust, and intelligence insights.
- SnowSure Answer Engine (
POST /api/v1/ask) — grounded natural-language answers over our verified snow data, in six languages.
Nothing changes about how you integrate — your client still calls our MCP or API directly. What changes is that ARD-aware discovery services can now find SnowSure on their own and route the right skier question — “where's the best powder in the Alps this week?” — to the right SnowSure tool, without anyone hand-configuring our endpoint.
SnowSure is among the first travel and outdoor-data providers to publish an ARD catalog. If you're building an agent that touches travel, weather, or the outdoors, you can crawl our manifest today.
Start here: Developers · MCP guide · OpenAPI · ai-catalog.json
