Document Processor MCP

Example Use Cases

• 1

  Ingest and extract text from PDFs, DOCX, PPTX, TXT, or image files while preserving document structure for analysis or summarization.

• 2

  Preprocess and clean document content into LLM-ready formats for question answering, summarization, or knowledge extraction.

• 3

  Seamless integration with Claude Desktop to process local files via an MCP server and return structured text outputs.

Description

This MCP leverages the Unstructured API to accurately parse multiple document formats while preserving structure and formatting. It runs as a Node.js service intended to be configured as an MCP for Claude Desktop, requiring an Unstructured API key. The server cleans and preprocesses document content and produces outputs optimized for use with large language models. It's useful for automating document ingestion and ensuring high-quality, structured text is presented to downstream LLM workflows.