Show HN: FLOX C++ trading systems framework with MCP (github.com)

FLOX has introduced a modular framework designed for building trading systems that supports polyglot strategy bindings and integrates AI-friendly developer tools. It allows users to run trading strategies seamlessly across different programming environments — including C++, Python, Node.js, Codon, and embedded JavaScript — without needing to rewrite code when transitioning from backtesting to live trading. This flexibility empowers developers to create sophisticated trading algorithms using a consistent API for indicators, order books, and data management. The introduction of FLOX's Model Context Protocol (MCP) server further enhances its value by providing AI coding agents with grounded access to FLOX's features, such as symbol lookups and full-text documentation searches. The framework supports native exchange connectors like Bybit and Bitget, offering developers the ability to integrate with various trading platforms easily. With its open-source nature, FLOX invites contributions from the community while operating under the MIT License, emphasizing its role as a tool for education and research in AI/ML-driven finance.