About MCP Document Converter
MCP Document Converter is an MCP server that converts documents and URLs into Markdown for AI agents. It supports a range of document formats and offers tools for batch and directory conversion, metadata extraction, and format listing.
Key features
- 01Convert supported files and URLs to Markdown
- 02Batch and directory conversion
- 03Extract file metadata
- 04List supported formats
- 05OCR for supported images
- 06Docker-ready deployment
Use cases
- 01Prepare documents for AI agent ingestion
- 02Convert a directory of files in one operation
- 03Extract metadata without full conversion
MCP support
The server exposes six MCP tools for file and URL conversion, batch and directory processing, metadata extraction, and supported-format listing.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-server-convert
A lightweight Model Context Protocol (MCP) server that converts documents to Markdown. Supports PDF, DOCX, HTML, EPUB, CSV, JSON, and plain text files.
Perfect for AI agents that need to ingest and understand document content.
Features
- 📄 Multi-format support: PDF, DOCX, HTML, EPUB, CSV, JSON, images (via OCR), and plain text
- 🔧 6 MCP tools:
convert_file,convert_url,list_supported_formats,batch_convert,extract_metadata,convert_directory - 🐍 Zero external dependencies for core: Uses Python standard library +
markdownifyfor HTML - ⚡ Fast: In-memory processing, no temp files
- 🐳 Docker-ready: Single Dockerfile, one command deploy
Quick Start
Install & Run
# Clone
git clone https://github.com/demo112/mcp-server-convert.git
cd mcp-server-convert
# Install dependencies
pip install -r requirements.txt
# Run
python -m mcp_server_convert
Configure in Claude Code
Add to your MCP settings (~/.claude/settings.json):
{
"mcpServers": {
"convert": {
"command": "python",
"args": ["-m", "mcp_server_convert"],
"cwd": "/path/to/mcp-server-convert"
}
}
}
Docker
docker build -t mcp-server-convert .
docker run -i --rm mcp-server-convert
Configure with Docker
{
"mcpServers": {
"convert": {
"command": "docker",
"args": ["run", "-i", "--rm", "-v", "/path/to/files:/data", "mcp-server-convert"]
}
}
}
Tools
convert_file
Convert a local file to Markdown.
Parameters:
file_path(string, required): Absolute path to the filemax_length(int, optional): Maximum output length in chars (default: 50000)
convert_url
Fetch a URL and convert its content to Markdown.
Parameters:
url(string, required): URL to fetch and convertmax_length(int, optional): Maximum output length in chars (default: 50000)
batch_convert
Convert multiple files at once.
Parameters:
file_paths(array of strings, required): List of file pathsmax_length_per_file(int, optional): Max length per file (default: 50000)
convert_directory
Convert all supported files in a directory.
Parameters:
dir_path(string, required): Path to directoryrecursive(bool, optional): Include subdirectories (default: true)max_files(int, optional): Maximum files to convert (default: 20)
extract_metadata
Extract metadata from a file without full conversion.
Parameters:
file_path(string, required): Path to the file
list_supported_formats
List all supported file extensions and their conversion methods.
Supported Formats
| Format | Extension | Method |
|---|---|---|
.pdf | PyMuPDF (fitz) | |
| Word | .docx | python-docx |
| HTML | .html, .htm | markdownify |
| EPUB | .epub | ebooklib |
| CSV | .csv | pandas → markdown table |
| JSON | .json | Formatted markdown code block |
| XML | .xml | xmltodict → markdown |
| Excel | .xlsx | openpyxl → markdown table |
| PowerPoint | .pptx | python-pptx → markdown slides |
| Text | .txt, .md, .rst, .log | Direct passthrough |
| Images | .png, .jpg | pytesseract OCR (if available) |
Support
If this tool helps your workflow, consider supporting its development:
- GitHub Sponsors: Sponsor via Liberapay
- ETH:
0xddD9f45e14c92846f47C1c1A4431aC2b41D87273
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.