Convert-Markdown-PDF MCP Server

Use This MCP server To

Convert Markdown notes to styled PDF documents Store and manage notes with custom note:// URIs Generate brief or detailed summaries of all stored notes Add new notes via tool interface Notify clients of note resource changes Integrate Markdown to PDF conversion in VS Code workflows

README

md-pdf-mcp (Markdown to PDF MCP Server)

Convert Markdown to gorgeously styled PDFs using VS Code's markdown styling and Python's ReportLab.

Components

Resources

The server implements a simple note storage system with:

Custom note:// URI scheme for accessing individual notes
Each note resource has a name, description and text/plain mimetype

Prompts

The server provides a single prompt:

summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference

Tools

The server implements one tool:

add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes

Configuration

[TODO: Add configuration details specific to your implementation]

Quickstart

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration

``` "mcpServers": { "md-pdf-mcp": { "command": "uv", "args": [ "--directory", "/Users/path/to/your/local/md-pdf-mcp", "run", "md-pdf-mcp" ] } } ```

Published Servers Configuration

``` "mcpServers": { "md-pdf-mcp": { "command": "uvx", "args": [ "md-pdf-mcp" ] } } ```

Development

Building and Publishing

To prepare the package for distribution:

Sync dependencies and update lockfile:

uv sync

Build package distributions:

uv build

This will create source and wheel distributions in the dist/ directory.

Publish to PyPI:

uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

Token: --token or UV_PUBLISH_TOKEN
Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory /Users/seanivore/Development/md-pdf-mcp run md-pdf-mcp

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

Convert-Markdown-PDF-MCP FAQ

How does Convert-Markdown-PDF-MCP handle Markdown styling in PDFs?

It uses VS Code's markdown styling combined with Python's ReportLab to produce gorgeously styled PDFs.

What is the note:// URI scheme used for?

It provides a custom way to access individual notes stored on the server, each with a name, description, and text/plain mimetype.

Can I control the detail level of note summaries?

Yes, the summarize-notes prompt accepts an optional "style" argument to generate brief or detailed summaries.

How do I add new notes to the server?

Use the add-note tool with required "name" and "content" string arguments to update the server state.

Does the server notify clients when notes change?

Yes, it notifies clients of resource changes whenever notes are added or updated.

Is this MCP server limited to any specific platform?

While designed with VS Code styling in mind, it can be integrated into any environment supporting the MCP protocol and Python.

What programming language is used for PDF generation?

Python's ReportLab library is used to generate the PDF documents from Markdown content.

Can this MCP server be used with multiple LLM providers?

Yes, it is provider-agnostic and works with OpenAI, Claude, Gemini, and others.