MCP For Claude Marketplace
Gratitude Journal Analytics

Gratitude Journal Analytics MCP Connector for Claude

A+

Analyze gratitude patterns, consistency, and wellbeing correlations.

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

This MCP server provides deep analytical insights into gratitude journaling practices. It allows AI agents to process journal entries to identify recurring themes, measure how consistently a user journals, and evaluate the emotional depth of entries. By using tools like analyze_theme_distribution and get_wellbeing_correlation, agents can uncover how regular practice relates to emotional wellbeing and identify specific areas of life that trigger the most gratitude.

gratitudejournalingwellbeingsentimentpatterns

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

analyze_theme_distribution

Identify which subjects or categories the user is most frequently grateful for

calculate_consistency_metrics

Measure the regularity and habit strength of the gratitude practice

evaluate_entry_quality

Assess the depth and emotional resonance of specific journal entries

get_wellbeing_correlation

Determine if the user's gratitude practice is translating into measurable emotional patterns

See how to talk to your AI agent using Gratitude Journal Analytics.

Based on my recent journal entries, what are my most common gratitude themes?

Your primary theme is 'Family', appearing in 60% of your entries, followed by 'Nature' at 25%.

How consistent has my gratitude practice been lately?

Your current consistency score is 85, with a current streak of 5 days and an average gap of 1.2 days between entries.

Is there a link between how often I journal and my emotional sentiment?

Yes, there is a positive correlation between your journaling frequency and sentiment, suggesting that more regular practice leads to higher emotional resonance.

The tool analyzes journal entries containing text, timestamps, and associated themes to provide insights into consistency and sentiment.

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