The fileAI MCP Server offers a robust set of tools to work with the fileAI file processing pipeline. It allows for uploading files, performing Optical Character Recognition (OCR), classifying documents, and extracting structured data. The server leverages the Model Context Protocol (MCP) to provide seamless integration with AI models, enabling them to work with your documents programmatically.

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Features

End-to-end file processing

  • From file upload to structured data extraction — manage the entire lifecycle of your files.

AI-powered

  • Leverage powerful AI models for OCR, file classification, and structured data extraction.

Schema management

  • Define, update, and manage schemas to control how data is extracted for your specific needs.

Asynchronous processing

  • Upload files and track processing status asynchronously.

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Requirements

To use the fileAI MCP Server, make sure you have the following items at hand:

A fileAI API key

  • After creating your fileAI account, you can generate your API Key.

Verified AI Schemas

fileAI suggests extraction and data fetch schemas. Confirm or edit these in the UI to call them directly via MCP.

Your MCP toolkit

An MCP client (such as Cursor or Claude Desktop) and npx (included with Node.js) available in your environment.