Fluent MCP is a comprehensive Python framework aimed at building Model Context Protocol (MCP) servers capable of embedded reasoning using language models. It provides tools for registering embedded and external tools, managing prompts, and executing reasoning processes internally before exposing the results. The architecture supports a two-tier approach: an embedded LLM for internal complex reasoning, and an external LLM for interaction with users or systems. Developers can scaffold new servers, define specialized tools, and leverage embedded reasoning to optimize performance and cost efficiency. The system also offers error handling, prompt management from files, and extensive documentation, supporting AI applications that require sophisticated multi-step reasoning and tool integration.