mcp-pandoc
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.
Prompts
Interactive templates invoked by user choice
Name | Description |
---|---|
No prompts |
Resources
Contextual data attached and managed by the client
Name | Description |
---|---|
No resources |
Tools
Functions exposed to the LLM to take actions
Name | Description |
---|---|
No tools |
Server Configuration
Describes the environment variables required to run the server.
Name | Required | Description | Default |
---|---|---|---|
UV_PUBLISH_TOKEN | No | PyPI token used for publishing the package | |
UV_PUBLISH_PASSWORD | No | PyPI password used for publishing the package | |
UV_PUBLISH_USERNAME | No | PyPI username used for publishing the package |
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>
</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
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
- Build package distributions:
This will create source and wheel distributions in the dist/
directory.
- Publish to PyPI:
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:
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.
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: