MCP For Claude Marketplace
AI Model Depreciation Rate

AI Model Depreciation Rate MCP Connector for Claude

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Calculate model obsolescence velocity and reinvestment timing.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides specialized tools to determine the obsolescence velocity of AI models. By analyzing model age, SOTA improvement rates, and performance decay, it calculates the effective depreciation rate and identifies the optimal timing for model reinvestment. Use get_effective_depreciation_rate to find the total loss velocity, calculate_reinvestment_timing to plan upgrades, assess_rd_intensity to estimate research needs, and analyze_retraining_adequacy to verify if current retraining schedules are sufficient.

ai-obsolescencemodel-lifecyclesota-trackingrd-planningperformance-decay

4 tools expose this connector's capabilities to your AI agent.

analyze_retraining_adequacy

Evaluates if the current retraining schedule is sufficient to maintain utility

assess_rd_intensity

Estimates the necessary research investment to counteract obsolescence

calculate_reinvestment_timing

Determines when the next model upgrade or retraining cycle must occur

get_effective_depreciation_rate

Calculates the total velocity of model obsolescence

See how to talk to your AI agent using AI Model Depreciation Rate.

What is the effective depreciation rate for a 12-month old model with a 5% SOTA improvement rate and 2% performance decay?

The effective depreciation rate is 7.0%.

When should I reinvest in my model if the current depreciation rate is 10% and my utility threshold is 0.7?

You should plan for reinvestment in 3 months; the urgency level is currently High.

Is my current 6-month retraining cycle adequate for a model with a 15% effective depreciation rate?

No, the current frequency is inadequate. A recommended frequency of 3 months is suggested to maintain utility.

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

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