MCP For Claude Marketplace
Brain Training Progress Tracker

Brain Training Progress Tracker MCP Connector for Claude

A+

Analyze cognitive performance trends, detect plateaus, and receive personalized training advice.

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

This MCP server provides a specialized analytics engine for monitoring cognitive performance. It helps users distinguish between genuine skill gains and simple task familiarity using analyze_practice_effect. Users can track specific domain trends with get_skill_progress, identify when training has stalled using detect_performance_plateaus, and receive actionable guidance through get_training_recommendations to optimize their mental exercises.

cognitivebrain-traininganalyticsperformancemental-health

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

analyze_practice_effect

Separates genuine cognitive improvement from familiarity gains caused by repeating the same tasks

detect_performance_plateaus

Identifies whether a user has stopped making meaningful gains in specific skills

get_skill_progress

Analyzes the performance trends for a specific cognitive skill over a defined period

get_training_recommendations

Generates personalized training advice based on current progress and plateau status

See how to talk to your AI agent using Brain Training Progress Tracker.

How has my memory performance changed over the last month?

Your memory skill shows a positive improvement trend, with average accuracy increasing from 75% to 82% over the last 30 days.

I feel like I'm not improving in my attention exercises. Am I stuck?

A plateau has been detected in your Attention skill. It is recommended to increase your current difficulty level to provide more stimulus.

What is the best way to improve my processing speed right now?

Based on your rapid progress, you should increase your training frequency to maintain momentum.

The `analyze_practice_effect` tool calculates skill gain by weighting performance against difficulty increases, while familiarity gain is measured by improvements when difficulty remains constant.

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