Aparavi MCP Server

Example Use Cases

• 1

  Process and extract clean text from documents using Aparavi's API.

• 2

  OCR capabilities to interpret system diagrams and images.

• 3

  That require an MCP-compliant interface to integrate document processing into their workflows.

Description

The Aparavi MCP Server integrates with Aparavi's document processing API to allow Language Models to extract clean text from documents without metadata. It supports asynchronous processing, OCR for system diagrams, and offers a Python-based backend with a Node.js wrapper for easy installation and usage. This server facilitates seamless document processing for AI agents by providing a compliant MCP interface and environment-based configuration.