Building an MCP Server with Unstructured API

The tutorial outlines the process of building an MCP (Model Context Protocol) server that integrates with the Unstructured API, which is designed to preprocess unstructured data for GenAI applications. MCP serves as a standardized protocol that facilitates effective communication between applications and LLMs (Large Language Models) by simplifying context delivery and promoting reusability and interoperability across different clients. The guide highlights the use of FastMCP to streamline the implementation of MCP servers and provides insights into setting up the project environment, creating tools for managing document processing workflows, and integrating the server with LLM-powered clients like Claude Desktop and Cursor. By leveraging the Unstructured API, users can automate document processing tasks, such as transforming PDFs or converting data from S3 buckets into JSON, through natural language instructions. The tutorial encourages developers to customize the server to suit their needs and invites them to contribute to the ongoing development of the Unstructured MCP server on GitHub.