A RAG system based on Python code analysis. It parses the code structure through AST and stores it in the Weaviate vector database, providing code query, natural language Q&A, and visualization functions, and supporting multi-codebase management and dependency analysis.

This project implements an MCP server for connecting to the TokenMetrics cryptocurrency data API, providing market data analysis, trading strategy backtesting, and visualization functions, and supporting the development of algorithmic trading systems.

MCP Telemetry is a server based on the Model Context Protocol for conversation tracking and data analysis in a chat system through Weights & Biases Weave. It provides functions such as session tracking, LLM interaction recording, and tool call monitoring, and supports real-time visualization and analysis.