Pdf2md

what is Pdf2md? Pdf2md is a high-performance service that converts PDF files into structured Markdown format, utilizing the MinerU API for efficient processing. how to use Pdf2md? To use Pdf2md, clone the repository, set up a virtual environment, install dependencies, configure environment variables, and start the service using command line arguments. key features of Pdf2md? Format Conversion: Converts PDF files to Markdown format. Multiple Sources: Supports local files and URL links. Intelligent Processing: Automatically selects the best processing method. Batch Processing: Allows for efficient conversion of multiple files. OCR Support: Optional OCR to enhance recognition rates. MCP Integration: Works seamlessly with LLM clients like Claude Desktop. use cases of Pdf2md? Converting academic papers from PDF to Markdown for easier editing. Batch processing of multiple PDF documents for documentation purposes. Integrating with other tools for automated content extraction and formatting. FAQ from Pdf2md? What is required to run Pdf2md? You need Python 3.10+ and an API key from MinerU. Can Pdf2md process multiple files at once? Yes! It supports batch processing for efficient handling of large volumes of PDFs. Is there any cost associated with using Pdf2md? The service is free to use, but you need to obtain an API key from MinerU, which may have its own terms.

As an MCP (Model Context Protocol) server, Pdf2md enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Pdf2md, clone the repository, set up a virtual environment, install dependencies, configure environment variables, and start the service using command line arguments. key features of Pdf2md? Format Conversion: Converts PDF files to Markdown format. Multiple Sources: Supports local files and URL links. Intelligent Processing: Automatically selects the best processing method. Batch Processing: Allows for efficient conversion of multiple files. OCR Support: Optional OCR to enhance recognition rates. MCP Integration: Works seamlessly with LLM clients like Claude Desktop. use cases of Pdf2md? Converting academic papers from PDF to Markdown for easier editing. Batch processing of multiple PDF documents for documentation purposes. Integrating with other tools for automated content extraction and formatting. FAQ from Pdf2md? What is required to run Pdf2md? You need Python 3.10+ and an API key from MinerU. Can Pdf2md process multiple files at once? Yes! It supports batch processing for efficient handling of large volumes of PDFs. Is there any cost associated with using Pdf2md? The service is free to use, but you need to obtain an API key from MinerU, which may have its own terms.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.