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.
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.
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.
01-04
4 capabilities in this set.
Part of 4 available through AI Model Depreciation Rate.
- 01
Analyze retraining adequacy
Evaluates if the current retraining schedule is sufficient to maintain utility
- 02
Assess rd intensity
Estimates the necessary research investment to counteract obsolescence
- 03
Calculate reinvestment timing
Determines when the next model upgrade or retraining cycle must occur
- 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding 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.
- 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.
https://edge.vinkius.com/vk_preview_kYQVFMJPx1ZCpbONse8wxW11VdH8QJvgcxqH0JWA/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI Model Depreciation Rate capabilities are ready to use.
{
"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
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.
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