This project is an MCP server for managing memory text files, helping AI models like Claude maintain context between conversations. It provides functions to add, search, delete, and list memories, supporting exact matching operations based on substrings. It is designed to store memories in simple text files, similar to ChatGPT's memory mechanism, and triggers memory storage through prompts and training.

This is a server that connects the TrainingPeaks training data platform to AI assistants like Claude through the Model Context Protocol (MCP). It allows users to query training data, analyze training loads, compare power data, and track fitness trends through natural language, without waiting for official API approval and using secure cookie authentication.