pdf-translator-mcp
Provides structured translation guidance for converting English PDFs to Korean, preserving document structure. It works as a custom connector for Claude, supplying rules and workflows for translating papers, manuals, and more.
README
pdf-translator MCP
An MCP server that supplies translation guidance for turning English PDFs — papers, manuals, guides — into Korean while preserving document structure. Registered as a claude.ai custom connector.
This server does not translate. It never receives the PDF.
Reading the document, working out its structure, translating it, and assembling the .md artifact
are all done by Claude. The server returns one thing: the rules for how to translate.
Design rationale and the reasoning behind each decision live in DESIGN.md (Korean).
Tools
| Tool | Purpose |
|---|---|
start_translation(title, page_count, genre, resuming?) |
Entry point. Size assessment, two-pass work order, output format, handoff-note format |
get_rules(genre) |
Structure preservation, do-not-translate zones, table/footnote/formula conventions, genre rules |
genre is one of paper, manual, other.
Flow
User attaches a PDF
→ Claude reads it
→ start_translation (may require splitting the file first)
→ get_rules
→ Pass 1: glossary, section map, do-not-translate list; confirm with the user
→ Pass 2: translate section by section, appending to one artifact
Documents past ~150 pages do not fit in a single conversation. The user splits the PDF, and the
translation note at the end of the artifact is pasted into the next conversation to carry the
glossary forward. Subsequent parts call the tool with resuming: true. The server stores nothing.
Development
npm install
npm run dev # http://localhost:8787
npm run typecheck
npm run deploy
Poking at it by hand
curl -s -X POST http://localhost:8787/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
curl -s -X POST http://localhost:8787/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{
"name":"start_translation",
"arguments":{"title":"Some Paper","page_count":19,"genre":"paper"}}}'
Layout
src/
index.ts Streamable HTTP + JSON-RPC. Stateless, unauthenticated, zero dependencies
tools.ts Tool definitions and profile validation
guides.ts Size tiering and template substitution
guides/*.md ← Guide content. This is the actual product
Most changes belong in src/guides/*.md.
Translation quality is decided by those Markdown files, not by the server code. They are bundled as
text modules, so you edit the Markdown directly. The guide text is written in Korean because it
instructs the model on producing Korean output.
| File | Contents |
|---|---|
plan.md / plan-resume.md |
Work plan — fresh start / resuming |
tier-single.md / tier-caution.md / tier-split.md |
How to proceed at each document size |
rules-common.md |
Output format, structure preservation, numbers and units, terminology |
rules-paper.md / rules-manual.md / rules-other.md |
Genre-specific rules |
Substituted placeholders: {{TITLE}}, {{PAGE_COUNT}}, {{GENRE}}, {{GENRE_LABEL}},
{{SPLIT_HINT}}, {{TIER_BLOCK}}.
Why no MCP SDK
There are no sessions, no streaming, and no server-initiated notifications here, so the SDK solves nothing this server has. Implementing the non-SSE path of Streamable HTTP directly keeps the dependency count at zero and the bundle around 14 KiB gzipped.
Why no authentication
The server touches no user data. It holds no storage, never receives a document, and returns the same public guidelines to everyone. There is nothing to authenticate.
Deployment
npx wrangler deploy
Add the deployed /mcp URL as a custom connector in claude.ai. No further setup is needed.
Test fixture
journal.pone.0350400.pdf — a 19-page pharmacokinetics paper. Chosen because it exercises the hard
cases in one document: multi-level merged table headers, statistical symbols, unit-heavy figures, and
a reference list that must not be translated.
Zhou X, Deng Y, Guo C, Li Y, Fu Y, Wang Z, et al. (2026) Pharmacokinetic interactions between three SGLT2 inhibitors and telmisartan: A focus on empagliflozin, ertugliflozin, and henagliflozin. PLoS One 21(6): e0350400. https://doi.org/10.1371/journal.pone.0350400
© 2026 Zhou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This repository redistributes the original PDF under those terms.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。