Suppr-MCP (超能文献)
Rank #89,726smithery/zjg678/suppr-mcp
# **Suppr MCP - README.md** ```markdown # Suppr MCP <div align="center"> [](cursor://anysphere.cursor-deeplink/mcp/install?name=suppr&config=ewogICJjb21tYW5kIjogIm5weCIsCiAgImFyZ3MiOiBbIi15IiwgInN1cHByLW1jcCJdLAogICJlbnYiOiB7CiAgICAiU1VQUFJfQVBJX0tFWSI6ICIiCiAgfQp9) [](https://www.npmjs.com/package/suppr-mcp) [](LICENSE) AI-powered document translation and academic literature search service for MCP-compatible clients. [Features](#features) • [Quick Start](#quick-start) • [Installation](#installation) • [Tools](#tools) • [Support](#support) </div> --- ## Overview **Suppr MCP** is a Model Context Protocol (MCP) server that provides professional document translation and academic literature search capabilities. Built by the [WildData](https://wilddata.cn) team, it enables AI assistants to translate documents across 11 languages and search PubMed literature databases seamlessly. ## Features ### 📄 **Intelligent Document Translation** - **Multi-format support**: PDF, DOCX, PPTX, XLSX, HTML, TXT, EPUB - **11 languages**: English, Chinese, Japanese, Korean, French, German, Spanish, Russian, Arabic, Portuguese, Italian - **Mathematical formula optimization**: Special handling for academic papers with complex equations - **Batch processing**: Asynchronous task queue for multiple documents - **Translation history**: Track and manage all translation tasks ### 🔍 **Academic Literature Search** - **AI-driven search**: Semantic understanding for precise literature discovery - **PubMed integration**: Direct access to biomedical research database - **Rich metadata**: Returns title, abstract, authors, DOI, PMID, publication info - **Smart filtering**: Auto-select most relevant results --- ## Quick Start ### One-Click Install (Cursor) Click the button below to install Suppr MCP in Cursor: [](cursor://anysphere.cursor-deeplink/mcp/install?name=suppr&config=ewogICJjb21tYW5kIjogIm5weCIsCiAgImFyZ3MiOiBbIi15IiwgInN1cHByLW1jcCJdLAogICJlbnYiOiB7CiAgICAiU1VQUFJfQVBJX0tFWSI6ICIiCiAgfQp9) After installation: 1. Get your API key from [https://suppr.wilddata.cn/api-keys](https://suppr.wilddata.cn/api-keys) 2. Open Cursor Settings → **MCP** → Find **"suppr"** → Add your API key to `SUPPR_API_KEY` --- ## Installation ### Prerequisites - Node.js >= 18.0.0 - A Suppr API key (get one at [https://suppr.wilddata.cn/api-keys](https://suppr.wilddata.cn/api-keys)) ### Method 1: NPX (Recommended) Add to your MCP client configuration: ```json { "mcpServers": { "suppr": { "command": "npx", "args": ["-y", "suppr-mcp"], "env": { "SUPPR_API_KEY": "your_api_key_here" } } } } ``` ### Method 2: Global Installation ```bash npm install -g suppr-mcp ``` Configuration: ```json { "mcpServers": { "suppr": { "command": "suppr-mcp", "env": { "SUPPR_API_KEY": "your_api_key_here" } } } } ``` ### Method 3: Claude Desktop For macOS, edit `~/Library/Application Support/Claude/claude_desktop_config.json`: ```json { "mcpServers": { "suppr": { "command": "npx", "args": ["-y", "suppr-mcp"], "env": { "SUPPR_API_KEY": "your_api_key_here" } } } } ``` For Windows, edit `%APPDATA%\Claude\claude_desktop_config.json` with the same configuration. --- ## Tools Suppr MCP provides 4 powerful tools: ### 1. `create_translation` Create a document translation task. **Parameters:** - `file_path` (optional): Local file path - `file_url` (optional): Remote file URL - `to_lang` (required): Target language code (e.g., `"en"`, `"zh"`, `"ja"`) - `from_lang` (optional): Source language code (default: `"auto"` for auto-detection) - `optimize_math_formula` (optional): Optimize mathematical formulas (boolean) **Example:** ```json { "file_url": "https://example.com/research-paper.pdf", "to_lang": "en", "from_lang": "zh", "optimize_math_formula": true } ``` **Returns:** ```json { "task_id": "02a6c6d1-3f70-4a5a-80bc-971d53a37bb1", "status": "INIT", "consumed_point": 453, "source_lang": "zh", "target_lang": "en" } ``` --- ### 2. `get_translation` Query translation task status and retrieve results. **Parameters:** - `task_id` (required): Translation task ID **Example:** ```json { "task_id": "02a6c6d1-3f70-4a5a-80bc-971d53a37bb1" } ``` **Returns:** ```json { "task_id": "02a6c6d1-3f70-4a5a-80bc-971d53a37bb1", "status": "DONE", "progress": 1.0, "source_file_url": "https://example.com/source.pdf", "target_file_url": "https://example.com/translated.pdf", "error_msg": null } ``` **Status codes:** - `INIT`: Task initialized - `PROGRESS`: Processing - `DONE`: Completed - `ERROR`: Failed --- ### 3. `list_translations` List translation history. **Parameters:** - `offset` (optional): Pagination offset (default: 0) - `limit` (optional): Number of results (default: 20) **Example:** ```json { "offset": 0, "limit": 10 } ``` --- ### 4. `search_documents` AI-powered academic literature search via PubMed. **Parameters:** - `query` (required): Search keywords - `topk` (optional): Number of results (1-100, default: 20) - `return_doc_keys` (optional): Fields to return (e.g., `["title", "abstract", "doi"]`) - `auto_select` (optional): Auto-select best results (default: `true`) **Example:** ```json { "query": "CRISPR gene editing mechanisms", "topk": 5, "return_doc_keys": ["title", "abstract", "authors", "doi"], "auto_select": true } ``` **Returns:** ```json { "search_items": [ { "doc": { "title": "CRISPR-Cas9 editing...", "abstract": "...", "authors": ["Smith J", "Doe A"], "doi": "10.1234/example" }, "search_gateway": "pubmed" } ], "consumed_points": 20 } ``` --- ## Supported Languages | Code | Language | Code | Language | |------|----------|------|----------| | `en` | English | `zh` | Chinese | | `ja` | Japanese | `ko` | Korean | | `fr` | French | `de` | German | | `es` | Spanish | `ru` | Russian | | `ar` | Arabic | `pt` | Portuguese | | `it` | Italian | `auto` | Auto-detect | --- ## Usage Examples ### Example 1: Translate a Research Paper ``` User: "Translate this PDF to English: https://example.com/paper.pdf" Assistant uses: 1. create_translation with file_url and to_lang="en" 2. Returns task_id 3. Periodically checks with get_translation 4. Provides download link when status="DONE" ``` ### Example 2: Search Literature ``` User: "Find recent papers about quantum computing" Assistant uses: search_documents with query="quantum computing" and topk=10 Returns: List of relevant papers with titles, abstracts, and DOIs ``` --- ## Error Handling | Code | Message | Solution | |------|---------|----------| | **401** | Invalid API key | Check your `SUPPR_API_KEY` environment variable | | **400** | Invalid parameters | Review parameter format and requirements | | **404** | Task not found | Verify the task_id is correct | --- ## FAQ ### Q: How do I get an API key? **A:** Visit [https://suppr.wilddata.cn/api-keys](https://suppr.wilddata.cn/api-keys) to generate your free API key. ### Q: What file formats are supported? **A:** PDF, DOCX, PPTX, XLSX, HTML, TXT, and EPUB files. ### Q: How long does translation take? **A:** Processing time varies by file size. Use `get_translation` to check progress. ### Q: Can I translate without uploading files? **A:** Yes, provide a publicly accessible `file_url` instead of `file_path`. ### Q: Is there a file size limit? **A:** Limits depend on your account tier. Check [API documentation](https://openapi.suppr.wilddata.cn/introduction) for details. --- ## Resources - 🌐 **Web Platform**: [https://suppr.wilddata.cn](https://suppr.wilddata.cn) - 📚 **API Documentation**: [https://openapi.suppr.wilddata.cn/introduction](https://openapi.suppr.wilddata.cn/introduction) - 🔬 **PubMed Search**: [https://suppr.wilddata.cn/](https://suppr.wilddata.cn/) - 🧪 **Deep Research**: [https://suppr.wilddata.cn/deep-research](https://suppr.wilddata.cn/deep-research) - 🔌 **Zotero Plugin**: [https://github.com/WildDataX/suppr-zotero-plugin](https://github.com/WildDataX/suppr-zotero-plugin) --- ## Support - **GitHub**: [https://github.com/WildDataX](https://github.com/WildDataX) - **Email**: [IT@wilddata.cn](mailto:IT@wilddata.cn) - **Website**: [https://wilddata.cn](https://wilddata.cn) --- ## License MIT License - see [LICENSE](LICENSE) file for details. --- <div align="center"> **Made with ❤️ by [WildData Team](https://wilddata.cn)** If you find Suppr MCP useful, please ⭐ star this repository! </div> ``` --- ## **额外提供的文件内容:** ### **package.json 示例** (如果需要) ```json { "name": "suppr-mcp", "version": "1.0.0", "description": "AI-powered document translation and academic literature search MCP server", "keywords": [ "mcp", "translation", "academic", "pubmed", "research", "ai" ], "author": "WildData Team", "license": "MIT", "homepage": "https://github.com/WildDataX/suppr-mcp", "repository": { "type": "git", "url": "https://github.com/WildDataX/suppr-mcp.git" }, "bugs": { "url": "https://github.com/WildDataX/suppr-mcp/issues" } } ```
Suppr-MCP (超能文献) is a Model Context Protocol (MCP) server. It ranks #89,726 of 137,492 servers tracked on MCP Toplist. Suppr-MCP (超能文献) is listed on Smithery, and ships as a single rolling release with no explicit version metadata. It was first listed on Nov 7, 2025.
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- Suppr-MCP (超能文献) ships as a single rolling release with no explicit version metadata.
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