seanivore_md_pdf_mcp
by seanivoreMarkdown to PDF Conversion MCP Server
Convert Markdown files into beautifully styled PDFs using VS Code's markdown styling and Python's ReportLab library.
Overview
The Markdown to PDF Conversion MCP Server is a powerful tool designed to transform Markdown content into professionally formatted PDF documents. It leverages VS Code's styling capabilities and Python's ReportLab library to ensure high-quality output.
Components
Resources
The server implements a simple note storage system with:
- Custom
note://URI scheme for accessing individual notes - Each note resource includes a name, description, and
text/plainmimetype
Prompts
The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (
briefordetailed) - Generates a prompt combining all current notes with the specified style preference
Tools
The server implements one tool:
- add-note: Adds a new note to the server
- Requires "name" and "content" as string arguments
- Updates server state and notifies clients of resource changes
Configuration
[TODO: Add configuration details specific to your implementation]
Quickstart
Install
Claude Desktop
- MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json - 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Development/Unpublished Servers Configuration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:
shell
uv sync
- Build package distributions:
shell
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
shell
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--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.
About
Markdown to PDF Conversion MCP
seanivore.github.io/portfolio/
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