Learning Velocity Tracker

Learning Velocity Tracker MCP Connector for Claude

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Analyze study efficiency and predict completion timelines by correlating time investment with knowledge retention.

4 tools Official Updated Jun 28, 2026 Official Vinkius Partner

The Learning Velocity Tracker is a specialized metric engine designed to quantify your learning pace. By analyzing the relationship between time spent on topics and mastery rates, it identifies bottleneck subjects and provides data-driven projections for your study curriculum. Use analyze_subject_mastery to check proficiency in specific areas, identify_low_yield_topics to find inefficient study patterns, calculate_global_velocity for an aggregate view of your progress, and predict_completion_timeline to estimate when you will finish your subjects.

study-trackerlearning-metricsefficiencyproductivity-toolsacademic-planning

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

analyze_subject_mastery

Analyzes proficiency level for a specific subject

calculate_global_velocity

Calculates overall learning pace

predict_completion_timeline

Predicts completion date for the curriculum

identify_low_yield_topics

Identifies bottleneck topics

See how to talk to your AI agent using Learning Velocity Tracker.

How am I doing in Mathematics?

In Mathematics, you have an accuracy rate of 85%, with an average of 45 minutes spent per topic across 12 completed topics.

Are there any subjects where I am wasting too much time?

Yes, the following topics are identified as low yield: 'Quantum Mechanics' and 'Advanced Calculus', due to high study duration and low accuracy.

When will I finish my Physics curriculum?

Based on your current velocity, you have approximately 40 hours of study remaining for Physics, with a projected completion date of October 15th, 2025.

It calculates velocity by dividing the total number of completed topics by the cumulative time spent on all studied topics, converted into hours.

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