What is the MCP PDF Server?

The MCP PDF Server is a specialized server designed for extracting text, performing OCR, and retrieving images from PDF files, enabling seamless integration with AI models.

What are the key features of the MCP PDF Server?

The key features include read_pdf_text for extracting plain text, read_by_ocr for OCR recognition, and read_pdf_images for extracting images from PDFs.

How do I install the MCP PDF Server?

Install the server using pip with the command: pip install pymupdf mcp. You might need additional OCR support for OCR features.

How do I start the MCP PDF Server?

Run the server using the command: python txt_server.py. The server will then be accessible via a specified address (e.g., http://127.0.0.1:6231).

What is the web debugging interface for?

The web debugging interface allows you to test and debug API tools without coding, simplifying experimentation and ensuring proper server functionality.

What kind of files can I process with MCP PDF Server?

You can process standard PDFs for text extraction, scanned documents/images for OCR, and any PDF for image extraction.

Do I need special OCR support to use read_by_ocr?

Yes, you need either a MuPDF build with OCR support or external OCR libraries installed.

Where should I place the PDF files I want to process?

Place your PDF files inside the pdf_resources/ directory or provide an absolute path to the file.

Can the MCP PDF Server be integrated with UBOS?

Yes, the MCP PDF Server can be seamlessly integrated with the UBOS platform, enhancing AI Agent capabilities and automated workflows.