The Microsoft Fabric MCP Server is a comprehensive Python-based MCP (Model Context Protocol) server designed to interact with Microsoft Fabric APIs. It enables end-to-end Fabric operations, including workspace, lakehouse, warehouse, and table management, Delta table schema and metadata retrieval, SQL query execution, and data loading, along with report and semantic model operations. The platform emphasizes advanced PySpark notebook development with six specialized templates, smart code generation for common PySpark tasks, and thorough validation to enforce syntax quality and best practices. It also provides Fabric-specific optimizations and compatibility checks, plus performance analysis with scoring and optimization recommendations and real-time monitoring for execution insights. The architecture features an AI layer (LLM) that delivers a natural language interface, context-aware conversation memory, intelligent code formatting and explanations, and smart optimization suggestions; an MCP layer housing tools, templates, validators, and code generators; and Fabric-facing components (API, workspaces, lakehouses, notebooks, and Delta tables) that connect to Spark clusters. Interaction flows illustrate LLM-driven tool usage and results delivered back through the LLM in context-aware formats. The server supports STDIO and HTTP interfaces for IDE integration and workflow automation, aiming to accelerate Fabric development with LLM-assisted code generation, validation, and optimization.