MCP-PDF2MD

MCP-PDF2MD Service

An MCP-based high-performance PDF to Markdown conversion service powered by the Mistral AI OCR API, supporting batch processing for local files and URL links with structured output.

Key Features

• Format Conversion: Convert PDF files to structured Markdown format.
• Multi-source Support: Process both local PDF files and remote PDF URLs.
• MCP Integration: Seamlessly integrates with LLM clients like Claude Desktop.
• Structure Preservation: Aims to maintain the original document structure, including headings, paragraphs, and lists.
• Image Extraction: Automatically extracts images from the PDF and saves them locally.
• High-Quality Extraction: Leverages Mistral AI's state-of-the-art OCR for high-quality text and layout information extraction.

Command Line Arguments

The server supports the following command line arguments:

• --output-dir: Specify the directory to save converted Markdown files and images. Defaults to ./downloads.

Example:

uv run pdf2md --output-dir /path/to/my/output

MCP Tools

The server provides the following MCP tools:

• convert_pdf_url(url: str): Converts a PDF from a URL to Markdown. Supports single URLs or multiple URLs separated by spaces, commas, or newlines.
• convert_pdf_file(file_path: str): Converts a local PDF file to Markdown. Supports single or multiple file paths separated by spaces, commas, or newlines.

Getting a Mistral AI API Key

This project relies on the Mistral AI API for PDF content extraction. To obtain an API key:

1. Visit the Mistral AI Platform and create an account.
2. Navigate to the "API Keys" section in your workspace.
3. Create a new secret key.
4. Copy the generated API key.
5. Use this key as the value for MISTRAL_API_KEY.

System Requirements

• Python 3.10+
• uv for environment and package management (recommended)

Quick Start

1. Clone the repository and enter the directory:

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   git clone https://github.com/zicez/mcp-pdf2md.git
   cd mcp-pdf2md

2. Install dependencies with uv:

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   uv sync

3. Configure environment variables:

   Create a .env file in the project root directory and set your Mistral AI API key:

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   MISTRAL_API_KEY=your_mistral_api_key_here

4. Start the service:

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   uv run pdf2md

Claude Desktop Configuration

Add the following configuration in Claude Desktop:

Windows:

{
  "mcpServers": {
    "pdf2md": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\path\\to\\mcp-pdf2md",
        "run",
        "pdf2md",
        "--output-dir",
        "C:\\path\\to\\output"
      ],
      "env": {
        "MISTRAL_API_KEY": "your_mistral_api_key_here"
      }
    }
  }
}

Linux/macOS:

{
  "mcpServers": {
    "pdf2md": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp-pdf2md",
        "run",
        "pdf2md",
        "--output-dir",
        "/path/to/output"
      ],
      "env": {
        "MISTRAL_API_KEY": "your_mistral_api_key_here"
      }
    }
  }
}

Note about API Key Configuration: You can set the API key in two ways:

1. In the .env file within the project directory (recommended for development).
2. In the Claude Desktop configuration as shown above (recommended for regular use).

If you set the API key in both places, the one in the Claude Desktop configuration will take precedence.

License

MIT License - see the LICENSE file for details.