Pandoc Document Conversion

Pandoc Document Conversion

Enables document format conversion between various formats (Markdown, HTML, PDF, DOCX, LaTeX, EPUB, and more) using Pandoc, preserving formatting and structure while supporting both direct content transformation and file-based conversions.

Category
访问服务器

README

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. 🎉

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>

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

Usage & configuration

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

To use the published one

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

⚠️ Important Notes

Critical Requirements

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

# 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"

❌ Incorrect Usage:

# 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

Quickstart

Install

Option 1: 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 <details> <summary>Development/Unpublished Servers Configuration</summary>

ℹ️ Replace <DIRECTORY> with your locally cloned project path

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

</details>

b) Published Servers Configuration - Consumers should use this config

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

Option 2: To install Published Servers Configuration automatically via Smithery

Run the following bash command to install published mcp-pandoc pypi for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-pandoc --client claude
  • 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

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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选