Which integrations are available for this server?

Enables reading and processing PDF files with tools for text extraction, OCR recognition, and image extraction from PDF documents. Based on FastMCP framework which is hosted on GitHub, allowing users to leverage the MCP protocol implementation for PDF processing. Requires Python 3.9+ environment to run the server, utilizing Python libraries like PyMuPDF for PDF processing functionality.

How do I use MCP PDF Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP PDF Server extract text from pages 1-3 of my_document.pdf" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

📄 MCP PDF Server

A PDF file reading server based on FastMCP.

Supports PDF text extraction, OCR recognition, and image extraction via the MCP protocol, with a built-in web debugger for easy testing.

🚀 Features

read_pdf_text
Extracts normal text from a PDF (page by page).
read_by_ocr
Uses OCR to recognize text from scanned or image-based PDFs.
read_pdf_images
Extracts all images from a specified PDF page (Base64 encoded output).

Related MCP server: Textin MCP Server

📂 Project Structure

mcp-pdf-server/
├── pdf_resources/        # Directory for uploaded and processed PDF files
├── txt_server.py         # Main server entry point
└── README.md             # Project documentation

⚙️ Installation

Recommended Python version: 3.9+

pip install pymupdf mcp

Note: To use OCR features, you may need a MuPDF build with OCR support or external OCR libraries.

🔦 Start the Server

Run the following command:

python txt_server.py

You should see logs like:

Serving on http://127.0.0.1:6231

🌐 Web Debugging Interface

Open your browser and visit:

http://127.0.0.1:6231

Select a tool from the left panel
Fill in parameters on the right panel
Click "Run" to test the tool

No coding required — easily debug and test via the web UI.

🛠️ API Tool List

Tool	Description	Input Parameters	Returns
`read_pdf_text`	Extracts normal text from PDF pages	`file_path`, `start_page`, `end_page`	List of page texts
`read_by_ocr`	Recognizes text via OCR	`file_path`, `start_page`, `end_page`, `language`, `dpi`	OCR extracted text
`read_pdf_images`	Extracts images from a PDF page	`file_path`, `page_number`	List of images (Base64 encoded)

📝 Example Usage

Extract text from pages 1 to 5:

mcp run read_pdf_text --args '{"file_path": "pdf_resources/example.pdf", "start_page": 1, "end_page": 5}'

Perform OCR recognition on page 1:

mcp run read_by_ocr --args '{"file_path": "pdf_resources/example.pdf", "start_page": 1, "end_page": 1, "language": "eng"}'

Extract all images from page 3:

mcp run read_pdf_images --args '{"file_path": "pdf_resources/example.pdf", "page_number": 3}'

📢 Notes

Files must be placed inside the pdf_resources/ directory, or an absolute path must be provided.
OCR functionality requires appropriate OCR support in the environment.
When processing large files, adjust memory and timeout settings as needed.