Pdf2md MCP
P

Pdf2md MCP

An MCP server for converting PDF to Markdown format based on AI sampling, supporting local file and URL conversion, incremental processing, and configurable output directories
2 points
0

What is the PDF2MD MCP Server?

The PDF2MD MCP Server is an intelligent document conversion tool specifically designed to convert PDF files into Markdown format, which is easy to edit and read. It utilizes AI technology to intelligently recognize and extract text, tables, and structures from PDF files, generating high-quality Markdown documents.

How to use the PDF2MD MCP Server?

Simply provide the PDF file path or URL, and the server will automatically handle the conversion process. It supports resuming the conversion from where it was interrupted, ensuring the reliability of processing long documents. The generated Markdown file maintains the structure and format of the original document.

Applicable scenarios

Scenarios that require converting PDF content into an editable format, such as academic paper conversion, technical document migration, e-book production, content extraction and analysis, and digital document archiving.

Main features

AI intelligent content extraction
Use advanced AI algorithms to recognize and extract elements such as text, tables, and lists from PDF files, maintaining the integrity of the document structure and semantics.
Multi-source file support
Supports obtaining PDF files through both local file paths and online URLs, facilitating the processing of documents from different sources.
Incremental conversion function
Supports resuming the conversion from where it was interrupted, making it more reliable when processing large PDF documents and avoiding redundant work.
Configurable output directory
Allows users to customize the output location of Markdown files, providing flexible storage management.
High-performance processing
Built on the FastMCP framework, it provides fast and efficient document conversion services and optimizes resource utilization.
Advantages
Intelligent AI parsing to maintain the document structure and format
Supports resuming from interruption, making it more reliable when processing large documents
Simple API interface, easy to integrate and use
High-quality Markdown output, facilitating subsequent editing and processing
Open source and free, with continuous improvement supported by the community
Limitations
Requires an MCP-compatible client to support the AI sampling function
The conversion effect of PDFs with complex layouts or scanned versions may be limited
Requires a Python 3.10+ runtime environment
Requires network access (for URL source files)

How to use

Install the server
Install the PDF2MD MCP server through the pip package manager
Start the server
Run the startup command to start the MCP service
Use the conversion tool
Call the convert_pdf_to_markdown tool through the MCP client for conversion
Get the result
View the generated Markdown file and the conversion summary

Usage examples

Convert a local technical document
Convert a local technical specification PDF to Markdown for easy collaborative editing by the team
Convert an online academic paper
Directly obtain an academic paper PDF from a URL and convert it to an editable Markdown format
Batch document processing
Combine scripts to batch process multiple PDF documents and implement an automated document conversion pipeline

Frequently Asked Questions

What kind of client is required to use this service?
What should I do if the conversion process is interrupted?
What types of PDF files are supported?
What is the quality of the converted Markdown?
Does it support custom output formats?

Related resources

GitHub code repository
Get the source code, submit issues, and participate in development
Model Context Protocol documentation
Understand the detailed specifications and technical details of the MCP protocol
Python official documentation
Reference documentation for the Python programming language
Markdown syntax guide
Learn Markdown syntax and usage skills

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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