Chronic Pain Diary Analyzer

Chronic Pain Diary Analyzer MCP Connector for Claude

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Identifies correlations between physiological, environmental, and activity data to manage chronic pain.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server connects AI agents to your chronic pain history. It analyzes complex relationships between pain intensity, physical activities, sleep quality, and environmental factors like weather. By using tools like get_pain_trends and identify_pain_triggers, agents can detect patterns in your pain levels, find specific triggers, and even predict_intervention_windows to help you plan medication or therapy. It also uses analyze_activity_sleep_correlation to show how your lifestyle impacts your discomfort.

healthpain-managementanalyticswellnessbiometrics

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

analyze_activity_sleep_correlation

Analyzes the relationship between daily activities, sleep quality, and pain intensity

get_pain_trends

Analyzes pain trends over a specified number of days

identify_pain_triggers

Identifies significant factors that correlate with pain flares

predict_intervention_windows

Predicts optimal windows for medication or therapeutic activities

See how to talk to your AI agent using Chronic Pain Diary Analyzer.

How has my pain been changing over the last 14 days?

Your pain has been decreasing slightly, with an average intensity of 4.2 and low volatility over the last two weeks.

What are my main pain triggers?

Your most significant triggers are high humidity and strenuous physical activity, which show a high correlation with your pain flares.

When is a good time for me to schedule my physical therapy this week?

Based on your predicted low-pain windows, Thursday afternoon looks like an optimal time for your physical therapy.

The `identify_pain_triggers` tool analyzes historical logs to find statistical correlations between specific activities, weather changes, or biological markers and your reported pain scores.

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