Awesome
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
<details> <summary>Screenshots</summary>🎥 Watch on YouTube
</details>
More to come...
Tools
convert-contents
- Transforms content between supported formats
- Inputs:
contents
(string): Source content to convertoutput_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
"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:
- 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.