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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Avalanche Transceiver Range with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Plan precise rescue operations with electromagnetic signal data.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Avalanche Transceiver Range capability set.

These are the exact actions your AI can choose when you ask it to work with Avalanche Transceiver Range.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Avalanche Transceiver Range.

  1. 01

    Analyze search scenario

    This capability provides a full operational summary including range, width, and manpower requirements.

  2. 02

    Calculate strip width

    Use this to find the lateral width of the coverage area provided by a single searcher.

  3. 03

    Estimate searcher count

    This capability determines the number of people required to cover a defined area within a specific time limit.

  4. 04

    Get effective range

    This capability calculates the maximum distance a searcher can detect a signal based on equipment and environment.

One connector, every AI

Avalanche Transceiver Range 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Avalanche Transceiver Range 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

1012ms average. Fast in production.

Avalanche Transceiver Range is checked daily against the live service.

Daily averagePeak 1012ms
Sep 14Today
Fastest day
1012ms
Slowest day
1012ms
14-day trend
Stable0%

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 Avalanche Transceiver Range, so you can see the experience inside your AI.

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

Avalanche Transceiver Range Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_V9tbiBBsDVodEg7OovKqQtX6aQXENNv4vOs5nW6W/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 — Avalanche Transceiver Range capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "avalanche-transceiver-range-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_V9tbiBBsDVodEg7OovKqQtX6aQXENNv4vOs5nW6W/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? How to give Claude access to Avalanche Transceiver Range

See all the AI clients this connector works with ↑

Who it's for

Built for the work Avalanche Transceiver Range owners hand off.

This MCP is built for professionals managing high-stakes mountain rescue and search operations.

  • 01

    Search and Rescue Leads

    They hand off area dimensions and time limits to the AI to get manpower requirements.

  • 02

    Avalanche Safety Technicians

    They use the capability to calculate signal ranges based on specific equipment models.

  • 03

    Emergency Coordinators

    They use scenario analysis to plan the deployment of field teams.

FAQ

Questions Avalanche Transceiver Range owners ask.

  • 01

    What can this MCP calculate for avalanche rescue?

    It calculates effective search radius, strip width, and the number of people needed to cover an area within a time limit.

  • 02

    How does burial depth affect the results?

    The capability uses burial depth to determine the effective search range for specific transceiver models.

  • 03

    Can I use this with Claude or Cursor?

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

  • 04

    Does it require manual math?

    No, your AI client performs all the electromagnetic and manpower calculations using the provided capabilities.

  • 05

    What information do I need for a manpower estimate?

    You need the total area size, the time limit, the searcher speed, and the strip width.

  • 06

    How does burial depth affect the search range?

    Increased burial depth causes signal attenuation, which reduces the effective range calculated by get_effective_range.

  • 07

    Can I calculate the total number of rescuers needed?

    Yes, use the estimate_searcher_count capability to determine the required personnel based on area, speed, and time constraints.

  • 08

    Does the capability account for electromagnetic interference?

    Yes, providing an interferenceLevel to capabilities like analyze_search_scenario will adjust the results to account for environmental noise.

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