# PDF parsing

NetMind ParsePro is a high - quality, robust, and cost - effective PDF parsing AI service that can convert PDF files to JSON or Markdown format and supports seamless integration with AI agents.

A Python toolset that enhances the functions of the Claude desktop application through the MCP framework

A project for parsing the key content of Media Kit PDF files in the advertising and marketing industry, achieving automated processing through integration with the MCP service.

pdffigures2-MCP-Server is an MCP service based on pdffigures2, used to extract figures, tables, titles, and section headings from academic PDFs.

iReader MCP is an MCP server that provides tools for reading and extracting Internet content, supporting text extraction from web pages, YouTube videos, Twitter threads, and PDF files.

The PDF Reader MCP service provides AI agents with the ability to securely read the content (text, metadata, page count) of PDF files, supports local and remote PDF files, and is easy to integrate into the MCP environment.