PDF2ZH — FeatherFlow MCP Server for PDF Translation
A slim MCP (Model Context Protocol) tool server that translates scientific PDF documents while preserving formulas, charts, table of contents, and layout. Designed to be launched and managed by FeatherFlow.
Based on PDFMathTranslate, stripped down to a single OpenAI-compatible translation backend — reusing the same LLM that FeatherFlow is already connected to.
Features
- MCP stdio transport — plug-and-play with FeatherFlow (or any MCP-compatible host)
- Preserves formulas & layout — powered by ONNX-based document layout analysis + pdfminer/pymupdf
- Dual output — generates both mono (translated-only) and dual (bilingual side-by-side) PDFs
- Shares FeatherFlow's LLM — OpenAI-compatible endpoint via environment variables, no extra API key needed
- Cross-platform — works on Linux and Windows; all paths use
pathlibfor portability
MCP Tools
| Tool | Description |
|---|---|
translate_pdf |
Translate a PDF file. Accepts file, lang_in, lang_out, optional output_dir. Returns absolute paths to mono & dual PDFs. |
list_supported_languages |
List all supported language codes (en, zh, ja, ko, fr, de, etc.) |
File Path Resolution
The file parameter of translate_pdf supports both absolute and relative paths:
- Absolute path — used as-is (e.g.
/home/user/.featherflow/workspace/paper.pdf) - Relative path — resolved against the workspace directory (defaults to
~/.featherflow/workspace, overridable via theWORKSPACE_DIRenvironment variable)
Output PDFs are written to the workspace directory by default. The returned paths are always absolute, making them directly usable by other MCP tools (e.g. feishu-mcp upload_file / upload_file_and_share).
Requirements
⚠️ Python Environment Isolation — Important
This project depends on
babeldoc/onnxruntime, which require Python ≥3.10, <3.13. FeatherFlow itself may run on a different Python version (e.g. 3.13+). You must create a separate Python environment for this project and point FeatherFlow's MCP config to this project's Python executable — not FeatherFlow's own Python.
- Python 3.10 – 3.12 (recommended: 3.12)
- uv (recommended), Conda, or virtualenv for environment isolation
Installation
0. Install uv (one-time setup, recommended)
uv can automatically download and manage any Python version — no need to install Python 3.12 manually.
# Linux / macOS
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows PowerShell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Restart your terminal after installation, then verify:
uv --version
1. Create a dedicated Python 3.12 environment
Using uv (recommended — auto-downloads Python 3.12 even if you only have 3.13+):
cd /path/to/pdftranslate-mcp
uv venv .venv --python 3.12
Activate the environment:
# Linux / macOS
source .venv/bin/activate
# Windows PowerShell
.venv\Scripts\Activate.ps1
# Windows CMD
.venv\Scripts\activate.bat
Alternative: Conda
conda create -p /path/to/pdftranslate-mcp/.venv python=3.12 -y
conda activate /path/to/pdftranslate-mcp/.venv
Alternative: venv (only if system Python is already 3.10–3.12)
python3.12 -m venv .venv
source .venv/bin/activate # Linux/macOS
# .venv\Scripts\Activate.ps1 # Windows PowerShell
2. Install the package
pip install -e .
Or with uv (10-100x faster):
uv pip install -e .
This installs all dependencies: pymupdf, pdfminer-six, babeldoc, onnxruntime, openai, mcp, etc.
3. Verify
python -m pdf2zh.mcp_server --help
FeatherFlow Configuration
Edit ~/.featherflow/config.json (or the config file for your setup). Add pdf2zh under tools.mcpServers.
Key point: The
commandmust point to this project's own Python executable, not FeatherFlow's Python. This project requires Python <3.13, while FeatherFlow may run on a newer version.
Example (Linux — production server)
{
"tools": {
"mcpServers": {
"pdf2zh": {
"command": "/opt/PDFMathTranslate/.venv/bin/python",
"args": ["-m", "pdf2zh.mcp_server"],
"toolTimeout": 600,
"env": {
"OPENAI_BASE_URL": "https://openrouter.ai/api/v1",
"OPENAI_API_KEY": "sk-or-v1-xxxxxxxx",
"OPENAI_MODEL": "anthropic/claude-opus-4-5"
}
}
}
}
}
Example (Windows — development)
{
"tools": {
"mcpServers": {
"pdf2zh": {
"command": "C:/Users/<you>/code/PDFMathTranslate/.venv/python.exe",
"args": ["-m", "pdf2zh.mcp_server"],
"toolTimeo
Tools 2
translate_pdfTranslate a PDF file while preserving formulas and layout.list_supported_languagesList all supported language codes.Environment Variables
OPENAI_BASE_URLrequiredThe base URL for the OpenAI-compatible translation backend.OPENAI_API_KEYrequiredThe API key for the translation backend.OPENAI_MODELrequiredThe specific model to use for translation.WORKSPACE_DIRThe directory used for resolving relative file paths.