Charles-mcp: Charles MCP Server bridges Charles Proxy with MCP clients, enabling AI agents to read live traffic incrementally, analyze recorded sessions with structured summary-first output, and drill down into details. It supports real-time capture, history analysis, and a reverse engineering toolchain for decoding, replay, and signature discovery, all with token-budget optimized responses.; mcp-use: mcp-use is a full-stack framework for Model Context Protocol (MCP), enabling the creation of MCP servers, clients, and AI agents. It supports development in both Python and TypeScript with minimal code.
Real-time traffic monitoring and debugging for AI agents.
Building intelligent AI agents capable of using tools and reasoning across steps