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Pdf2md
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Pdf2md

A high-performance PDF to Markdown service based on MCP, supporting batch processing of local files and URLs, retaining the document structure and intelligently optimizing the output.
Developer toolsResearch and data#PDF conversion#Markdown generation#Batch processing#Intelligent optimization.Python
2.5 points
23

What is MCP-PDF2MD?

MCP-PDF2MD is a PDF to Markdown service based on the Model Context Protocol. It can convert PDF documents into a structured Markdown format with high quality, retaining elements such as the layout, formulas, and tables of the original document.

How to use MCP-PDF2MD?

Through simple configuration, you can integrate this service into LLM clients such as Claude Desktop or use it directly via the command line. The service supports two input methods: local PDF files and online PDF links.

Applicable scenarios

Suitable for scenarios where PDF files such as academic papers, technical documents, and business reports need to be converted into an editable Markdown format. It is especially suitable for researchers, content creators, and technical document writers.

Main features

Format conversionConvert PDF files to a structured Markdown format
Multi-source supportSupport processing local PDF files and URL links
Batch processingSupport batch conversion of multiple files and efficiently process a large number of PDF files
Formula conversionAutomatically recognize and convert formulas in the document to LaTeX format
Table extractionAutomatically recognize and convert tables in the document to a structured format

Advantages and limitations

Advantages
Extract high-quality content and retain the original document structure
Support processing of complex layouts, including single-column and multi-column documents
Automatically clean up interfering elements such as headers and footers
Seamlessly integrate with LLM clients such as Claude Desktop
Limitations
Dependent on the MinerU API and requires applying for an API key
Limited support for some special PDF formats
May take a long time when batch processing a large number of files

How to use

Clone the repository
Clone the project code to the local machine
Create a virtual environment
Create and activate a Python virtual environment
Install dependencies
Install the dependencies required by the project
Configure the API key
Set the MinerU API key in the .env file
Start the service
Run the service to start using

Usage examples

Convert an academic paperConvert an academic paper PDF to Markdown format, retaining formulas and references
Batch convert technical documentsBatch convert multiple technical document PDFs stored locally

Frequently Asked Questions

How to obtain a MinerU API key?
Which PDF formats does the service support?
Where are the converted Markdown files saved?
Does it support the conversion of Chinese PDFs?

Related resources

MinerU official website
The MinerU official website to obtain API keys and documentation
GitHub repository
Project source code and latest updates
MinerU API documentation
Detailed usage instructions for the MinerU API
Installation
Copy the following command to your Client for configuration
{
    "mcpServers": {
        "pdf2md": {
            "command": "uv",
            "args": [
                "--directory",
                "C:\\path\\to\\mcp-pdf2md",
                "run",
                "pdf2md",
                "--output-dir",
                "C:\\path\\to\\output"
            ],
            "env": {
                "MINERU_API_KEY": "your_api_key_here"
            }
        }
    }
}

{
    "mcpServers": {
        "pdf2md": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/mcp-pdf2md",
                "run",
                "pdf2md",
                "--output-dir",
                "/path/to/output"
            ],
            "env": {
                "MINERU_API_KEY": "your_api_key_here"
            }
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.
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