AI & MCP Integration

This section explains how to leverage the Model Context Protocol (MCP) to make this documentation and the underlying platform metadata available to Artificial Intelligence agents.

Because Struktural is a proprietary enterprise platform, public Large Language Models (LLMs) such as GPT-4 or Claude 3.5 lack training data regarding its specific JSON schemas, Roslyn scripting restrictions, and unique lifecycle hooks. Without context, these models will "hallucinate" incorrect C# or JSON structures.

To solve this, Struktural exposes a Documentation MCP Server.

Please navigate through the following sub-sections:

• 7.1 External AI Assistants Instructions on how to connect local development environments (like Cursor, Windsurf, or Claude Desktop) to the Struktural MCP Server, allowing your AI to write perfectly formatted C# scripts and schema JSONs.

• 7.2 Internal RAG Chatbot An architectural overview of how the built-in Studio Chatbot utilizes Retrieval-Augmented Generation (RAG) against this Markdown Wiki to assist business analysts directly inside the platform.