MCP For Claude Marketplace
Migraine Trigger Analyzer

Migraine Trigger Analyzer MCP Connector for Claude

A+

Identifies statistical correlations between lifestyle triggers and migraine episodes.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server connects AI agents to advanced pattern analysis for migraine management. It identifies correlations between lifestyle factors and neurological events, accounting for delayed onset and synergistic effects. Use get_trigger_correlations to find statistical relationships, identify_likely_triggers to pinpoint probable causes, analyze_trigger_synergies to detect combined risks, and get_avoidance_plan to receive prioritized lifestyle recommendations.

migrainehealth-trackingpattern-analysislifestylewellness

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

analyze_trigger_synergies

Detects patterns where multiple triggers occurring together increase migraine risk

get_avoidance_plan

Generates actionable recommendations to reduce migraine frequency

get_trigger_correlations

Identifies which triggers show the strongest statistical relationship with migraine episodes

identify_likely_triggers

Provides a focused list of the most probable culprits for a user's migraines

See how to talk to your AI agent using Migraine Trigger Analyzer.

Analyze my migraine patterns and tell me which triggers are most likely.

Based on your history, the most probable triggers are dehydration and lack of sleep, which show a high correlation with your recent episodes.

Are there any specific trigger combinations I should watch out for?

Yes, there is a significant synergy detected between high stress levels and caffeine consumption that increases your migraine risk.

Give me an avoidance plan based on my data.

Your primary recommendation is to increase daily water intake and maintain a consistent sleep schedule to reduce frequency.

The `get_trigger_correlations` tool uses an analysis window to look back at trigger exposures that occurred before the migraine episode, accounting for physiological lag.

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