Labsco
jathinkolla logo

Pandoc

from jathinkolla

A server for converting document formats using Pandoc.

πŸ”₯πŸ”₯πŸ”₯πŸ”₯βœ“ VerifiedAccount requiredNeeds API keys

PyPI Downloads <a href="https://smithery.ai/server/mcp-pandoc"><img alt="Smithery Badge" src="https://smithery.ai/badge/mcp-pandoc"></a> <a href="https://glama.ai/mcp/servers/xyzzgaj9bk"><img width="380" height="200" src="https://glama.ai/mcp/servers/xyzzgaj9bk/badge" /></a> MseeP.ai Security Assessment Badge

mcp-pandoc: A Document Conversion MCP Server

Officially included in the Model Context Protocol servers open-source project. πŸŽ‰

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

mcp-pandoc - v1: Seamless Document Format Conversion for Claude using MCP server

πŸŽ₯ Watch on YouTube

<details> <summary>Screenshots</summary> <img width="2407" alt="Screenshot 2024-12-26 at 3 33 54β€―PM" src="https://github.com/user-attachments/assets/ce3f5396-252a-4bba-84aa-65b2a06b859e" /> <img width="2052" alt="Screenshot 2024-12-26 at 3 38 24β€―PM" src="https://github.com/user-attachments/assets/8c525ad1-b184-41ca-b068-7dd34b60b85d" /> <img width="1498" alt="Screenshot 2024-12-26 at 3 40 51β€―PM" src="https://github.com/user-attachments/assets/a1e0682d-fe44-40b6-9988-bf805627beeb" /> <img width="760" alt="Screenshot 2024-12-26 at 3 41 20β€―PM" src="https://github.com/user-attachments/assets/1d7f5998-6d7f-48fa-adcf-fc37d0521213" /> <img width="1493" alt="Screenshot 2024-12-26 at 3 50 27β€―PM" src="https://github.com/user-attachments/assets/97992c5d-8efc-40af-a4c3-94c51c392534" /> </details>

More to come...

Tools

  1. 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
      • pdf
      • 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:

  1. Complete file paths with filename and extension are required
  2. PDF conversion requires TeX Live installation (see Critical Requirements section -> For macOS: brew install texlive)
  3. 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)

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

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

  1. 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/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.