MCP For Claude Marketplace
Sleep Onset Latency Tracker

Sleep Onset Latency Tracker MCP Connector for Claude

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Analyze sleep onset latency patterns and receive personalized hygiene recommendations.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized analytics for monitoring Sleep Onset Latency (SOL). By analyzing the time between bedtime and actual sleep, it calculates core metrics like average latency and trend direction. Users can evaluate insomnia risk and receive actionable sleep hygiene advice through tools like get_sol_metrics, analyze_insomnia_risk, and get_hygiene_recommendations.

sleepinsomniahealth-techbiometricswellness-tracking

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

analyze_insomnia_risk

Evaluates risk of insomnia based on SOL metrics

get_hygiene_recommendations

Provides actionable sleep hygiene advice

get_sol_metrics

Calculates core statistical metrics for sleep onset latency

query_sol_history

Retrieves historical SOL data for a specific time range

See how to talk to your AI agent using Sleep Onset Latency Tracker.

Calculate my sleep metrics for the last three nights.

Your average sleep onset latency is 25 minutes, with a stable trend and low variation.

Am I at risk for insomnia based on my recent sleep data?

Your current risk level is Moderate due to consistently high latency over the last four nights.

What should I do to improve my sleep hygiene?

To improve your sleep, try reducing blue light exposure before bed and maintaining a more consistent bedtime schedule.

You can use `get_sol_metrics` by providing a JSON array of your sleep entries, including bedtime and actual sleep time.

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