Md2pdf Mcp

by chunliu

274 downloads
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GitHub

About

This server provides a tool to convert Markdown text to PDF files using the convert_markdown library. It's designed to work as an MCP (Model Context Protocol) server that can be integrated with various AI assistants and applications.

Details

Author
chunliu
Downloads
274
Categories
Other

- Converts Markdown text to well-formatted PDF files
- Generates random filenames using UUID to avoid conflicts
- Configurable output directory via the PDF_OUTPUT_DIR environment variable
- Returns resource links with metadata for easy integration
- Built on FastMCP for reliable MCP server functionality

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Md2pdf Mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install and run the server via uvx --from md2pdf-mcp md2pdf. Configure it in your MCP client by adding a JSON entry with the command and optional PDF_OUTPUT_DIR environment variable. The server exposes a single tool, convert_md_to_pdf, which takes a markdown_text string parameter and returns a resource link to the generated PDF.

convert_md_to_pdf

Convert Markdown text to PDF. Args: markdown_text (str): The Markdown text to convert. Returns: str: The JSON string with PDF metadata.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "md2pdf mcp": {
            "md2pdf": {
                "command": "uvx",
                "args": [
                    "--from",
                    "md2pdf-mcp",
                    "md2pdf"
                ],
                "env": {
                    "PDF_OUTPUT_DIR": "/path/to/output/folder"
                }
            }
        }
    }
}

McpServers

{
    "md2pdf": {
        "command": "uvx",
        "args": [
            "--from",
            "md2pdf-mcp",
            "md2pdf"
        ],
        "env": {
            "PDF_OUTPUT_DIR": "/path/to/output/folder"
        }
    }
}

md2pdf-mcp

MCP Server for Markdown to PDF conversion.

Description

This server provides a tool to convert Markdown text to PDF files using the convert_markdown library. It's designed to work as an MCP (Model Context Protocol) server that can be integrated with various AI assistants and applications.

Features

- Convert Markdown text to well-formatted PDF files
- Random filename generation using UUID to avoid conflicts
- Configurable output directory via environment variables
- Returns resource links with metadata for easy integration
- Built on FastMCP for reliable MCP server functionality

Installation

You can install and run this tool using uvx:

uvx --from md2pdf-mcp md2pdf

Usage

As MCP Server

Configure the server in your MCP client configuration:

{
    "mcpServers": {
        "md2pdf": {
            "command": "uvx",
            "args": ["--from", "md2pdf-mcp", "md2pdf"],
            "env": {
                "PDF_OUTPUT_DIR": "/path/to/output/folder"
            }
        }
    }
}

Available Tools

The server provides one tool:

convert_md_to_pdf

Converts Markdown text to a PDF file.

Parameters:
- markdown_text (string): The Markdown content to convert

Returns:
A JSON string containing:
- type: "resource_link"
- uri: File URI of the generated PDF
- name: Generated filename (UUID-based)
- mimeType: "application/pdf"
- annotations: Metadata including audience, priority, and last modified timestamp

Environment Variables

- PDF_OUTPUT_DIR: Directory where PDF files will be saved (defaults to user's home directory)

Example Usage

Once the server is running, you can call the tool through your MCP client:

{
    "mcpServers": {
        "md2pdf": {
            "command": "uvx",
            "args": ["--from", "md2pdf-mcp", "md2pdf"],
            "env": {
                "PDF_OUTPUT_DIR": "/path/to/output/folder"
            }
        }
    }
}

License

MIT License

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