Designing an MCP Server for Unstructured Data

- MCP (Model Context Protocol) is an open standard from Anthropic that lets Large Language Models (LLMs) connect to external tools and data sources — think of it as a universal plug-in system for AI assistants like Claude. - Ariadne is a specific MCP server designed to give LLMs structured access to unstructured data (e.g., messy documents, notes, databases without clean schemas). It borrows its name from Greek myth — Ariadne helped Theseus navigate the labyrinth with a ball of thread. - The "unstructured data" problem: most useful real-world information lives in PDFs, emails, Slack logs, wikis, or raw text. LLMs can't directly query this data — they need a tool/server that indexes, chunks, and retrieves relevant pieces at query time. - Ariadne's key design moves: it uses a graph-based approach to represent relationships between pieces of information (rather than flat keyword search), and it exposes this via the MCP protocol so any compatible LLM can "ask" it for context mid-conversation.