Suppr-MCP (超能文献)

by wilddatax

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Suppr - AI-powered document translation and academic search service. Supports high-quality translation of PDF, DOCX, PPTX and other formats in 11 languages with optimized mathematical formula handling. Includes PubMed-integrated intelligent literature search for researchers…

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Author: wilddatax
Categories: Other, Search, Knowledge Base

Suppr MCP - Usage Guide | 提供文档翻译及中文搜Pubmed的MCP服务 | Suppr超能文献

Suppr(超能文献) is an AI-powered academic tools platform by WildData. This MCP server brings document translation and literature search capabilities to AI assistants.

🌐AI Document Translation— Translate PDF, Word (.docx), Excel (.xlsx), PowerPoint (.pptx), TXT, and HTML documents across 13 languages. Preserves original formatting. Automatic source language detection.

🔬PubMed Academic Search— Semantic literature discovery across millions of biomedical research papers. Returns structured metadata: DOI, PMID, journal impact factor, citation counts, author affiliations, abstracts, and direct paper links.

🤖MCP Compatible— Works with Claude Desktop, Cursor, Windsurf, and any Model Context Protocolclient.

编辑~/Library/Application Support/Claude/claude_desktop_config.json（macOS）或相应配置文件：

{ "mcpServers": { "suppr": { "command": "npx", "args": ["-y", "suppr-mcp"], "env": { "SUPPR_API_KEY": "your_api_key_here" } } } }

{ "mcpServers": { "suppr": { "command": "suppr-mcp", "env": { "SUPPR_API_KEY": "your_api_key_here" } } } }

- file_path(file_path 和 file_url 二选一): 源文件路径
- file_url(file_path 和 file_url 二选一): 要翻译的文档 URL
- to_lang(必填): 目标语言代码
- from_lang(可选): 源语言代码（默认自动检测）
- optimize_math_formula(可选): 优化数学公式（仅 PDF）

{ "file_url": "https://example.com/document.pdf", "to_lang": "en", "from_lang": "zh", "optimize_math_formula": true }

{ "task_id": "02a6c6d1-3f70-4a5a-80bc-971d53a37bb1", "status": "INIT", "consumed_point": 453, "source_lang": "zh", "target_lang": "en", "optimize_math_formula": true }

{ "task_id": "02a6c6d1-3f70-4a5a-80bc-971d53a37bb1" }

{ "task_id": "02a6c6d1-3f70-4a5a-80bc-971d53a37bb1", "status": "DONE", "progress": 1.0, "consumed_point": 453, "source_file_name": "document.pdf", "source_file_url": "https://example.com/source.pdf", "target_file_url": "https://example.com/translated.pdf", "source_lang": "zh", "target_lang": "en", "error_msg": null, "optimize_math_formula": true }

- INIT: 初始化
- PROGRESS: 进行中
- DONE: 已完成
- ERROR: 错误

- offset(可选): 分页偏移量，默认 0
- limit(可选): 每页数量，默认 20

{ "offset": 0, "limit": 10 }

{ "total": 42, "offset": 0, "limit": 10, "list": [ { "task_id": "...", "status": "DONE", "progress": 1.0, ... } ] }

- query(必填): 自然语言查询
- topk(可选): 最大返回数量（1-100，默认 20）
- return_doc_keys(可选): 指定返回字段
- auto_select(可选): 自动选择最优结果（默认 true）

{ "query": "糖尿病最新研究进展", "topk": 5, "return_doc_keys": ["title", "abstract", "doi", "authors"], "auto_select": true }

- title: 标题
- abstract: 摘要
- authors: 作者列表
- doi: DOI
- pmid: PubMed ID
- link: 链接
- publication: 出版物
- pub_year: 出版年份
- 更多字段请参考 API 文档

{ "search_items": [ { "doc": { "title": "...", "abstract": "...", "authors": [...], "doi": "...", ... }, "search_gateway": "pubmed" } ], "consumed_points": 20 }

- en: English (英语)
- zh: Chinese (中文)
- ko: Korean (韩语)
- ja: Japanese (日语)
- fr: French (法语)
- de: German (德语)
- es: Spanish (西班牙语)
- ru: Russian (俄语)
- ar: Arabic (阿拉伯语)
- pt: Portuguese (葡萄牙语)
- it: Italian (意大利语)
- auto: 自动检测

{ "code": 非零错误码, "msg": "错误信息", "data": null }

- 401: API 密钥无效或未提供
- 400: 请求参数错误
- 404: 资源不存在

请帮我翻译这个文档：https://example.com/paper.pdf，翻译成英文

查看任务 02a6c6d1-3f70-4a5a-80bc-971d53a37bb1 的翻译进度

A: 访问 https://suppr.wilddata.cn/api-keys注册并获取 API 密钥。

A: 支持 PDF, DOCX, PPTX, XLSX, HTML, TXT, EPUB等常见格式。

A: 取决于文档大小，通常几分钟到十几分钟不等。可以使用get_translation查询进度。

A: 翻译完成后，get_translation会返回target_file_url，直接访问该链接下载。

A: 确保 Node.js 版本 >= 18.0.0，并且设置了 SUPPR_API_KEY 环境变量。

- Zotero插件:https://github.com/WildDataX/suppr-zotero-plugin
- 官方网站：https://suppr.wilddata.cn
- AI文档翻译:https://suppr.wilddata.cn/translate/upload
- API服务:https://openapi.suppr.wilddata.cn/introduction
- 中文搜Pubmed:https://suppr.wilddata.cn/
- 深度研究：https://suppr.wilddata.cn/deep-research
- GitHub组织：WildDataX

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