MCP server for PDF translation via pdf2zh-next with full-context LLM translation
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# pdf2zh-next-mcp [](https://pypi.org/project/pdf2zh-next-mcp/) [](LICENSE) MCP server for PDF translation using [pdf2zh-next](https://github.com/funstory-ai/BabelDOC) as the PDF processing backend. Designed for **Claude Desktop**. Instead of translating each segment independently (which loses context), this server extracts all segments at once and lets the LLM translate them together — preserving terminology consistency and context across the entire document. > **Using Claude Code?** Check out [pdf2zh-next-skill](https://github.com/JaeHyeon-KAIST/pdf2zh-next-skill) — a lightweight skill-based approach without MCP overhead. It handles large PDFs better by leveraging Claude Code's direct file I/O and auto-continuation. ## How it works ``` ┌─────────────────────────────────────────────────┐ │ Claude Desktop │ │ │ │ 1. extract_segments ──→ segments + formulas │ │ 2. LLM translates all segments at once │ │ 3. assemble_translated ──→ final PDF │ └─────────────────────────────────────────────────┘ ``` The LLM sees every segment before translating — so terminology stays consistent, cross-page sentences flow naturally, and formula placeholders are preserved correctly. ## Prerequisites [pdf2zh-next](https://github.com/funstory-ai/BabelDOC) must be installed separately: ```bash uv tool install pdf2zh-next ``` Verify installation: ```bash pdf2zh_next --version ``` > You need [uv](https://docs.astral.sh/uv/) to install both pdf2zh-next and this server. ## Installation ### From PyPI (recommended) ```bash uv tool install pdf2zh-next-mcp ``` ### From GitHub ```bash uv tool install git+https://github.com/JaeHyeon-KAIST/pdf2zh-next-mcp ``` ### From source ```bash git clone https://github.com/JaeHyeon-KAIST/pdf2zh-next-mcp cd pdf2zh-next-mcp uv s…
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