Claude Analyzer MCP
Advanced conversation analysis and pattern recognition MCP server for Claude interactions
Claude Analyzer MCP is a specialized server designed to analyze and optimize Claude interactions through advanced pattern recognition and conversation analytics. It provides comprehensive insights into conversation flows, token usage optimization, response quality metrics, and user interaction patterns. The server features sentiment analysis, topic modeling, conversation branching analysis, and performance benchmarking capabilities. Built for researchers, developers, and organizations looking to optimize their Claude implementations, it includes real-time analytics, historical trend analysis, and automated reporting features. Perfect for understanding conversation dynamics and improving AI interaction quality.
Key Metrics
Features
Conversation Analytics
Deep analysis of conversation patterns, flow dynamics, and interaction quality metrics.
Pattern Recognition
Advanced pattern detection in user queries, response types, and conversation outcomes.
Sentiment Analysis
Real-time sentiment tracking and emotional tone analysis throughout conversations.
Performance Optimization
Token usage optimization, response time analysis, and efficiency recommendations.
Usage Insights
Comprehensive usage statistics, topic distribution, and user behavior analytics.
Automated Reporting
Generate detailed reports on conversation quality, trends, and optimization opportunities.