MCP For Claude Marketplace
Distraction Time Total

Distraction Time Total MCP Connector for Claude

A+

Quantify lost productivity by aggregating distraction durations.

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

This MCP server provides tools to analyze and quantify time lost to interruptions. Use get_total_distraction_time to sum up all distraction events, get_average_distraction_duration to find the mean length of interruptions, and get_distraction_frequency_metrics to see how often distractions occur in specific time buckets. It also includes validate_distraction_data to ensure your recorded durations are consistent and valid for analysis.

productivitytime-trackingfocusanalyticsdistraction

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

get_average_distraction_duration

Determines the typical length of a distraction event

get_distraction_frequency_metrics

Provides a breakdown of how many distractions occurred within specific time buckets

get_total_distraction_time

Calculates the total amount of time lost to distractions

validate_distraction_data

Checks the integrity and sanity of a set of distraction recordings

See how to talk to your AI agent using Distraction Time Total.

What is the total time lost if I had distractions of 5, 10, and 15 minutes?

The total time lost is 30 minutes across 3 distraction events.

What was the average distraction length for 2, 4, and 6 minutes?

The average distraction duration is 4 minutes.

Check if these distraction durations are valid: [10, 20, -5]

The data is invalid because it contains a negative duration.

You can use the `get_total_distraction_time` tool by providing an array of all your recorded distraction durations.

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