mcp-pandoc
by vivekVells
MCP server for document format conversion using pandoc.
What is mcp-pandoc
mcp-pandoc: A Document Conversion MCP Server
Officially included in the Model Context Protocol servers open-source project. ๐
Overview
A Model Context Protocol server for document format conversion using pandoc. This server provides tools to transform content between different document formats while preserving formatting and structure.
Please note that mcp-pandoc is currently in early development. PDF support is under development, and the functionality and available tools are subject to change and expansion as we continue to improve the server.
Credit: This project uses the Pandoc Python package for document conversion, forming the foundation for this project.
Demo
๐ฅ Watch on YouTube
More to come...
Tools
convert-contents
- Transforms content between supported formats
- Inputs:
contents
(string): Source content to convert (required if input_file not provided)input_file
(string): Complete path to input file (required if contents not provided)input_format
(string): Source format of the content (defaults to markdown)output_format
(string): Target format (defaults to markdown)output_file
(string): Complete path for output file (required for pdf, docx, rst, latex, epub formats)
- Supported input/output formats:
- markdown
- html
- docx
- rst
- latex
- epub
- txt
- Note: For advanced formats (pdf, docx, rst, latex, epub), an output_file path is required
Supported Formats
Currently supported formats:
Basic formats (direct conversion):
- Plain text (.txt)
- Markdown (.md)
- HTML (.html)
Advanced formats (requires complete file paths):
- PDF (.pdf) - requires TeX Live installation
- DOCX (.docx)
- RST (.rst)
- LaTeX (.tex)
- EPUB (.epub)
Note: For advanced formats:
- Complete file paths with filename and extension are required
- PDF conversion requires TeX Live installation (see Critical Requirements section -> For macOS:
brew install texlive
) - When no output path is specified:
- Basic formats: Displays converted content in the chat
- Advanced formats: May save in system temp directory (/tmp/ on Unix systems)
Usage & configuration
To use the published one
{
"mcpServers": {
"mcp-pandoc": {
"command": "uvx",
"args": ["mcp-pandoc"]
}
}
}
โ ๏ธ Important Notes
Critical Requirements
-
PDF Conversion Prerequisites
-
TeX Live must be installed before attempting PDF conversion
-
Installation commands:
# Ubuntu/Debian sudo apt-get install texlive-xetex # macOS brew install texlive # Windows # Install MiKTeX or TeX Live from: # https://miktex.org/ or https://tug.org/texlive/
-
-
File Path Requirements
- When saving or converting files, you MUST provide complete file paths including filename and extension
- The tool does not automatically generate filenames or extensions
Examples
โ Correct Usage:
# Converting content to PDF
"Convert this text to PDF and save as /path/to/document.pdf"
# Converting between file formats
"Convert /path/to/input.md to PDF and save as /path/to/output.pdf"
โ Incorrect Usage:
# Missing filename and extension
"Save this as PDF in /documents/"
# Missing complete path
"Convert this to PDF"
# Missing extension
"Save as /documents/story"
Common Issues and Solutions
-
PDF Conversion Fails
- Error: "xelatex not found"
- Solution: Install TeX Live first (see installation commands above)
-
File Conversion Fails
- Error: "Invalid file path"
- Solution: Provide complete path including filename and extension
- Example:
/path/to/document.pdf
instead of just/path/to/
-
Format Conversion Fails
- Error: "Unsupported format"
- Solution: Use only supported formats:
- Basic: txt, html, markdown
- Advanced: pdf, docx, rst, latex, epub
Quickstart
Install
Option 1: Installing manually via claude_desktop_config.json config file
- On MacOS:
open ~/Library/Application\ Support/Claude/claude_desktop_config.json
- On Windows:
%APPDATA%/Claude/claude_desktop_config.json
โน๏ธ Replace with your locally cloned project path
"mcpServers": {
"mcp-pandoc": {
"command": "uv",
"args": [
"--directory",
"<DIRECTORY>/mcp-pandoc",
"run",
"mcp-pandoc"
]
}
}
"mcpServers": {
"mcp-pandoc": {
"command": "uvx",
"args": [
"mcp-pandoc"
]
}
}
Option 2: To install Published Servers Configuration automatically via Smithery
Run the following bash command to install published mcp-pandoc pypi for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-pandoc --client claude
Note: To use locally configured mcp-pandoc, follow "Development/Unpublished Servers Configuration" step above.
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
orUV_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/vivekvells/Desktop/code/ai/mcp-pandoc run mcp-pandoc
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Contributing
We welcome contributions to enhance mcp-pandoc! Here's how you can get involved:
- Report Issues: Found a bug or have a feature request? Open an issue on our GitHub Issues page.
- Submit Pull Requests: Improve the codebase or add features by creating a pull request.
Leave a Comment
Comments section will be available soon. Stay tuned!
Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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