ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Model Depreciation Rate with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate model obsolescence velocity and reinvestment timing.

Included with plan

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

Complete set · 4 capabilities

The complete AI Model Depreciation Rate capability set.

These are the exact actions your AI can choose when you ask it to work with AI Model Depreciation Rate.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Model Depreciation Rate.

  1. 01

    Analyze retraining adequacy

    Evaluates if the current retraining schedule is sufficient to maintain utility

  2. 02

    Assess rd intensity

    Estimates the necessary research investment to counteract obsolescence

  3. 03

    Calculate reinvestment timing

    Determines when the next model upgrade or retraining cycle must occur

  4. 04

    Get effective depreciation rate

    Calculates the total velocity of model obsolescence

One connector, every AI

AI Model Depreciation Rate 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 AI Model Depreciation Rate 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

870ms average. Fast in production.

AI Model Depreciation Rate is checked daily against the live service.

Daily averagePeak 973ms
Sep 5Today
Fastest day
870ms
Slowest day
973ms
14-day trend
Improving-11%

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 AI Model Depreciation Rate, so you can see the experience inside your AI.

It does not authenticate your account with AI Model Depreciation Rate. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Model Depreciation Rate Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kYQVFMJPx1ZCpbONse8wxW11VdH8QJvgcxqH0JWA/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 — AI Model Depreciation Rate capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-model-depreciation-rate-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kYQVFMJPx1ZCpbONse8wxW11VdH8QJvgcxqH0JWA/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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions AI Model Depreciation Rate owners ask.

  • 01

    How do I calculate the total obsolescence velocity?

    You can use the get_effective_depreciation_rate capability, which combines the model's internal performance decay with the external SOTA improvement rate.

  • 02

    Can this capability help with R&D budget planning?

    Yes, by using assess_rd_intensity, you can estimate the necessary research investment required to maintain a specific performance gap against the current SOTA.

  • 03

    How do I know if my retraining frequency is enough?

    Use the analyze_retraining_adequacy capability to evaluate if your current retraining schedule keeps utility loss within safe margins.