mcp-pandoc

Python
MIT
6
  • Apple
A
security – no known vulnerabilities (report Issue)
A
license - permissive license (MIT)
A
quality - confirmed to work

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.

  1. Tools
  2. Prompts
  3. Resources
  4. Server Configuration
  5. README.md

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
UV_PUBLISH_TOKENNoPyPI token used for publishing the package
UV_PUBLISH_PASSWORDNoPyPI password used for publishing the package
UV_PUBLISH_USERNAMENoPyPI username used for publishing the package
README.md

mcp-pandoc: A Document Conversion MCP Server

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

<a href="https://glama.ai/mcp/servers/xyzzgaj9bk"><img width="380" height="200" src="https://glama.ai/mcp/servers/xyzzgaj9bk/badge" /></a>

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

🎥 Watch on YouTube

<details> <summary>Screenshots</summary>

Tool Demo 1 showing markdown, text, and HTML conversion Demo 2 showing markdown, text, and HTML conversion

</details>

More to come...

Tools

  1. convert-contents
    • Transforms content between supported formats
    • Inputs:
      • contents (string): Source content to convert
      • output_format (string): Target format (html, markdown, text)
    • Returns: Converted content in the target format

Supported Formats

Currently supported formats:

  • Plain text
  • Markdown
  • HTML

In development:

  • PDF, CSV, DOCX, etc.

Usage & configuration

To use the published one

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

Quickstart

Install

Claude Desktop

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

<details> <summary>Development/Unpublished Servers Configuration</summary>
"mcpServers": { "mcp-pandoc": { "command": "uv", "args": [ "--directory", "/Users/vivekvells/Desktop/code/ai/mcp-pandoc", "run", "mcp-pandoc" ] } }
</details> <details> <summary>Published Servers Configuration</summary>
"mcpServers": { "mcp-pandoc": { "command": "uvx", "args": [ "mcp-pandoc" ] } }
</details>

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.


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.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues with dependencies of the server.
  • Extract server characteristics such as tools, resources, prompts, and required parameters.

Our directory badge helps users to quickly asses that the MCP server is safe, server capabilities, and instructions for installing the server.

Copy the following code to your README.md file:

Alternative MCP servers

  • -
    security
    F
    license
    -
    quality
    Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
  • -
    security
    -
    license
    -
    quality
    A Model Context Protocol (MCP) server for managing Microsoft 365 environments through Claude or other AI assistants. This server provides comprehensive management capabilities for users, groups, teams, SharePoint, and device management in Microsoft 365.
  • -
    security
    A
    license
    -
    quality
    MCP Server for the Notion API, enabling Claude to interact with Notion workspaces.
    MIT
  • -
    security
    F
    license
    -
    quality
    A Model Context Protocol (MCP) server implementation for interacting with Phabricator API. This server allows LLMs to interact with Phabricator through a standardized interface.