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File Format Converter (Pandoc)

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vivekvells

MCP server for document format conversion using pandoc.

Publishervivekvells
Repositorymcp-pandoc
LanguagePython
Forks
56
Stars
535
Available tools
1
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    File Format Converter (Pandoc) exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 1 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    535 stars and 56 forks from the linked repository.

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mcp-pandoc: A Document Conversion MCP Server

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

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.

📋 Quick Reference

New to mcp-pandoc? Check out 📖 CHEATSHEET.md for

  • ⚡ Copy-paste examples for all formats
  • 🔄 Bidirectional conversion matrix
  • 🎯 Common workflows and pro tips
  • 🌟 Reference document styling guide

Perfect for quick lookups and getting started fast!

Demo

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

🎥 Watch on YouTube

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)
      • reference_doc (string): Path to a reference document to use for styling (supported for docx output format)
      • defaults_file (string): Path to a Pandoc defaults file (YAML) containing conversion options
      • filters (array): List of Pandoc filter paths to apply during conversion
    • Supported input/output formats:
      • markdown
      • html
      • pdf
      • docx
      • rst
      • latex
      • epub
      • txt
      • ipynb
      • odt
    • Note: For advanced formats (pdf, docx, rst, latex, epub), an output_file path is required

🔧 Advanced Features

Defaults Files (YAML Configuration)

Use defaults files to create reusable conversion templates with consistent formatting:

yaml
# academic-paper.yaml
from: markdown
to: pdf
number-sections: true
toc: true
metadata:
  title: "Academic Paper"
  author: "Research Team"

Example usage: "Convert paper.md to PDF using defaults academic-paper.yaml and save as paper.pdf"

Pandoc Filters

Apply custom filters for enhanced processing:

Example usage: "Convert docs.md to HTML with filters ['/path/to/mermaid-filter.py'] and save as docs.html"

💡 For comprehensive examples and workflows, see CHEATSHEET.md

📊 Supported Formats & Conversions

Bidirectional Conversion Matrix

From\ToMDHTMLTXTDOCXPDFRSTLaTeXEPUBIPYNBODT
Markdown
HTML
TXT
DOCX
RST
LaTeX
EPUB
IPYNB
ODT

A Note on PDF Support

This tool uses pandoc for conversions, which allows for generating PDF files from the formats listed above. However, converting from a PDF to other formats is not supported. Therefore, PDF should be considered an output-only format.

Format Categories

CategoryFormatsRequirements
BasicMD, HTML, TXT, IPYNB, ODTNone
AdvancedDOCX, PDF, RST, LaTeX, EPUBMust specify output_file path
StyledDOCX with reference docCustom template support ⭐

Requirements by Format

  • PDF (.pdf) - requires TeX Live installation
  • DOCX (.docx) - supports custom styling via reference documents
  • All others - no additional requirements

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)

Usage & configuration

NOTE: Ensure to complete installing required packages mentioned below under "Critical Requirements".

To use the published one

bash
{
  "mcpServers": {
    "mcp-pandoc": {
      "command": "uvx",
      "args": ["mcp-pandoc"]
    }
  }
}

💡 Quick Start: See CHEATSHEET.md for copy-paste examples and common workflows.

⚠️ Important Notes

Critical Requirements

  1. Pandoc Installation
  • Required: Install pandoc - the core document conversion engine

  • Installation:

    bash
    # macOS
    brew install pandoc
    
    # Ubuntu/Debian
    sudo apt-get install pandoc
    
    # Windows
    # Download installer from: https://pandoc.org/installing.html
  • Verify: pandoc --version

  1. UV package installation
  • Required: Install uv package (includes uvx command)

  • Installation:

    bash
    # macOS
    brew install uv
    
    # Windows/Linux
    pip install uv
  • Verify: uvx --version

  1. PDF Conversion Prerequisites: Only needed if you need to convert & save pdf
  • TeX Live must be installed before attempting PDF conversion

  • Installation commands:

    bash
    # 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/
  1. 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

✅ Correct Usage:

bash
# 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"

# Converting to DOCX with a reference document template
"Convert input.md to DOCX using template.docx as reference and save as output.docx"

# Step-by-step reference document workflow
"First create a reference document: pandoc -o custom-reference.docx --print-default-data-file reference.docx" or if you already have one, use that
"Then convert with custom styling: Convert this text to DOCX using /path/to/custom-reference.docx as reference and save as /path/to/styled-output.docx"

❌ Incorrect Usage:

bash
# 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

  1. PDF Conversion Fails

    • Error: "xelatex not found"
    • Solution: Install TeX Live first (see installation commands above)
  2. 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/
  3. Format Conversion Fails

    • Error: "Unsupported format"
    • Solution: Use only supported formats:
      • Basic: txt, html, markdown
      • Advanced: pdf, docx, rst, latex, epub
  4. Reference Document Issues

    • Error: "Reference document not found"
    • Solution: Ensure the reference document path exists and is accessible
    • Note: Reference documents only work with DOCX output format
    • How to create: pandoc -o reference.docx --print-default-data-file reference.docx

Quickstart

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

a) Only for local development & contribution to this repo

ℹ️ Replace with your locally cloned project path

bash
"mcpServers": {
  "mcp-pandoc": {
    "command": "uv",
    "args": [
      "--directory",
      "<DIRECTORY>/mcp-pandoc",
      "run",
      "mcp-pandoc"
    ]
  }
}

b) Published Servers Configuration - Consumers should use this config

bash
"mcpServers": {
  "mcp-pandoc": {
    "command": "uvx",
    "args": [
      "mcp-pandoc"
    ]
  }
}
  • If you face any issue, use the "Published Servers Configuration" above directly instead of this cli.

Note: To use locally configured mcp-pandoc, follow "Development/Unpublished Servers Configuration" step above.

Development

Testing

To run the comprehensive test suite and validate all supported bidirectional conversions, use the following command:

bash
uv run pytest tests/test_conversions.py

This ensures backward compatibility and verifies the tool's core functionality.

Building and Publishing

To prepare the package for distribution:

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

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

  1. Publish to PyPI:
bash
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:

bash
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:

  1. Report Issues: Found a bug or have a feature request? Open an issue on our GitHub Issues page.
  2. Submit Pull Requests: Improve the codebase or add features by creating a pull request.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "mcp-pandoc": {
      "command": "uvx",
      "args": [
        "mcp-pandoc"
      ]
    }
  }
}

Available Tools

  • convert-contents

    $2f

Use File Format Converter (Pandoc) MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once File Format Converter (Pandoc) is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add File Format Converter (Pandoc) as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the File Format Converter (Pandoc) MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "file-format-converter-pandoc": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-pandoc"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the File Format Converter (Pandoc) MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the File Format Converter (Pandoc) MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use File Format Converter (Pandoc) to help me with this task?
File Format Converter (Pandoc)
Sure. I read it.
Here is what I found using File Format Converter (Pandoc).

Frequently asked questions

What is the File Format Converter (Pandoc) MCP server used for?

File Format Converter (Pandoc) is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use File Format Converter (Pandoc) MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use File Format Converter (Pandoc) with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use File Format Converter (Pandoc) MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With File Format Converter (Pandoc) connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect File Format Converter (Pandoc) MCP to TypingMind?

File Format Converter (Pandoc) runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does File Format Converter (Pandoc) MCP provide in TypingMind?

File Format Converter (Pandoc) exposes 1 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use File Format Converter (Pandoc) MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If File Format Converter (Pandoc) requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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