Convert Markdown to PDF easily with syntax highlighting, custom styling, and watermark options
The Markdown2PDF MCP Server is an advanced tool designed to convert Markdown documents into high-quality, styled PDF files. It leverages modern web technologies such as syntax highlighting and custom CSS for rich content rendering. Additionally, it supports watermarking on the first page.
Inspired by Alan Shaw's markdown-pdf, this server offers a robust solution for integrating Markdown-to-PDF functionality into AI applications that use Model Context Protocol (MCP). By adhering to MCP standards, this tool ensures seamless integration with various AI clients such as Claude Desktop and Continue.
The Markdown2PDF MCP Server provides a comprehensive set of features tailored for efficient document conversion while ensuring seamless compatibility with Model Context Protocol (MCP). Here are the key capabilities:
The architecture of the Markdown2PDF MCP Server is built around the Model Context Protocol (MCP), ensuring compatibility with a wide range of AI clients. The server communicates using an efficient protocol that specifies how data flows between the client and the server.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
This diagram illustrates the interaction between an AI application, its MCP client, and the Markdown2PDF MCP Server. The protocol ensures secure and efficient data transfer.
The following table outlines the compatibility of the Markdown2PDF MCP Server with various MCP clients:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
This compatibility matrix ensures that developers can seamlessly integrate the Markdown2PDF MCP Server into their applications while maintaining full support for necessary features.
To get started, follow these steps to install and configure the Markdown2PDF MCP Server:
Clone the Repository:
git clone https://github.com/2b3pro/markdown2pdf-mcp.git
Navigate to the Project Directory:
cd markdown2pdf-mcp
Install Dependencies:
npm install
Build the Project:
npm run build
The Markdown2PDF MCP Server can be integrated into various AI workflows, enhancing document management and presentation. Here are two examples of its use:
Report Generation:
User Guide Creation:
The Markdown2PDF MCP Server is designed to work seamlessly with various AI clients by adhering to Model Context Protocol standards. Developers can incorporate this server into their applications to provide robust document conversion capabilities while maintaining compatibility with popular MCP clients like Claude Desktop and Continue.
Here’s an example of how the server might be configured in an MCP client setup:
{
"mcpServers": {
"[server-name]": {
"command": "node",
"args": ["path/to/markdown2pdf-mcp/build/index.js"],
"env": {
"M2P_OUTPUT_DIR": "/path/to/output/directory"
}
}
}
}
The performance and compatibility of the Markdown2PDF MCP Server are optimized for reliability in various environments.
The server offers advanced configuration options through environment variables and custom settings:
M2P_OUTPUT_DIR
environment variable to specify where generated PDF files will be saved.For detailed configuration, refer to the official documentation or MCP client guide.
How does the Markdown2PDF MCP Server handle syntax highlighting?
Can I customize the appearance of the PDF output?
outputFilename
parameter.What are the limitations of Markdown support in this server?
How do I handle file name conflicts during conversion?
Is the server version compatible with current MCP clients?
Contributing to the Markdown2PDF MCP Server is straightforward and can be done by following these steps:
Fork the Repository:
git fork https://github.com/2b3pro/markdown2pdf-mcp.git
Create a Feature Branch:
git checkout -b feature/new-feature
Commit Changes:
git commit -m 'Add new feature'
Push to the Branch:
git push origin feature/new-feature
Create a Pull Request.
For more information on Model Context Protocol and its ecosystem, refer to the official documentation:
By leveraging the power of MCP, developers can build robust, integrated solutions that enhance AI application functionality through document management and presentation.
This comprehensive technical documentation positions the Markdown2PDF MCP Server as a valuable tool for developers looking to integrate advanced Markdown-to-PDF conversion into their AI applications.
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