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Connect Snow Temperature Profile to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Analyze snowpack stability and temperature gradients with your AI.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Snow Temperature Profile.

  1. 01

    Assess weak layer risk

    This capability evaluates the risk of crystal metamorphism and faceting based on the current temperature profile.

  2. 02

    Get diurnal profile impact

    Use this to determine how the time of day influences the existing temperature gradient.

  3. 03

    Get stability forecast

    This capability provides a high-level stability forecast by incorporating environmental forcing factors like solar and cloud conditions.

  4. 04

    Get temperature gradient

    This capability calculates the vertical temperature gradient within the snowpack using a heat conduction model.

Real work

What teams actually run

01

Weak Layer Identification

Your agent analyzes temperature gradients to predict where crystal metamorphism will create dangerous layers.

02

Stability Forecasting

Use environmental forcing factors to predict how upcoming weather will change snow stability.

03

Diurnal Cycle Modeling

Check how the time of day changes the temperature gradient within a specific snowpack depth.

04

Rapid Gradient Checks

Quickly get the vertical temperature gradient for a given snow depth and temperature range.

One connector, every AI

Snow Temperature Profile works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Snow Temperature Profile to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

908ms average. Fast in production.

Snow Temperature Profile is checked daily against the live service.

Daily averagePeak 1131ms
Oct 3Today
Fastest day
729ms
Slowest day
1131ms
14-day trend
Improving-12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Snow Temperature Profile, so you can see the experience inside your AI.

It does not authenticate your account with Snow Temperature Profile. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Snow Temperature Profile Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Wn2jRksX5SvfTzYjgasTlxpzugOIov6GCga2UjYY/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Snow Temperature Profile capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "snow-temperature-profile-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Wn2jRksX5SvfTzYjgasTlxpzugOIov6GCga2UjYY/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Snow Temperature Profile in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Snow Temperature Profile owners hand off.

This MCP is built for professionals managing snow safety and meteorological research.

  • 01

    Avalanche Forecasters

    They hand off snowpack data to the AI to identify potential weak layers.

  • 02

    Meteorologists

    They use the capability to model how environmental forcing affects snow stability.

  • 03

    Backcountry Guides

    They use the AI to quickly check how diurnal cycles might change snow conditions.

FAQ

Questions Snow Temperature Profile owners ask.

  • 01

    How does this MCP calculate temperature gradients?

    It uses a heat conduction model to determine the vertical temperature gradient within the snowpack.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 03

    What factors affect the stability forecast?

    The forecast incorporates environmental forcing factors such as solar radiation and cloud cover.

  • 04

    Does it predict weak layers?

    Yes, the assess_weak_layer_risk capability evaluates the risk of crystal metamorphism based on the temperature profile.

  • 05

    How does the time of day affect my analysis?

    The get_diurnal_profile_impact capability determines how diurnal cycles influence the current temperature gradient.

  • 06

    How is the temperature gradient calculated?

    The get_temperature_gradient capability calculates the rate of temperature change per meter by dividing the difference between surface and base temperatures by the total snow depth.

  • 07

    Can I predict weak layer formation?

    Yes, the assess_weak_layer_risk capability evaluates the risk of kinetic metamorphism and facet formation based on the current temperature profile.

  • 08

    Does solar radiation affect the results?

    Yes, the get_stability_forecast capability incorporates solar radiation intensity to determine how energy input modifies snowpack stability.

Connect Snow Temperature Profile to Claude, Cursor, ChatGPT & more