mcp-variance-log
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MCP Variance Log is an agentic tool that logs statistical variations in conversation structure to a SQLite database, designed for use with Claude Desktop or other MCP-compatible clients.
The MCP Variance Log is a sophisticated tool designed to monitor and log unusual events in conversation structures. Utilizing the Model Context Protocol (MCP), it identifies statistical variations and logs them into a SQLite database. This system is particularly useful for applications that require detailed analysis of conversation patterns, such as customer service interactions or AI-driven chatbots. The tool is compatible with Claude Desktop and other MCP-compatible clients, making it versatile for various platforms. It operates by silently monitoring interactions and logging events classified as MEDIUM or LOW probability, ensuring that the conversation flow remains uninterrupted. The logs include context and reasoning, providing a comprehensive overview of each interaction. The system is built on Python and requires MCP version 1.2.0 or higher, along with SQLite3 and the UV package manager.
Features
- Automatic Logging: Silently monitors interactions and logs unusual events without disrupting conversation flow.
- Probability Classification: Classifies events into HIGH, MEDIUM, or LOW probability for prioritized logging.
- SQLite Database Integration: Stores logs in a SQLite database for easy access and analysis.
- MCP Compatibility: Designed to work seamlessly with Claude Desktop and other MCP-compatible clients.
- Detailed Contextual Logging: Each log entry includes context, reasoning, and probability classification.