← Back to leaderboard
60
/100
C ◉ Complete 64

Suppr-MCP (超能文献)

# **Suppr MCP - README.md** ```markdown # Suppr MCP <div align="center"> [![Install in Cursor](https://img.shields.io/badge/Install%20in-Cursor-blue?style=for-the-badge)](cursor://anysphere.cursor-deeplink/mcp/install?name=suppr&config=ewogICJjb21tYW5kIjogIm5weCIsCiAgImFyZ3MiOiBbIi15IiwgInN1cHByLW1jcCJdLAogICJlbnYiOiB7CiAgICAiU1VQUFJfQVBJX0tFWSI6ICIiCiAgfQp9) [![npm version](https://img.shields.io/npm/v/suppr-mcp.svg)](https://www.npmjs.com/package/suppr-mcp) [![License](https://img.shields.io/badge/license-MIT-green.svg)](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: [![Install in Cursor](https://img.shields.io/badge/Install%20in-Cursor-blue?style=for-the-badge)](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" } } ```

Developer Tools by zjg678 Last commit: 7 months ago
Anthropic Email Exa GitHub npm
Complete visibility — 6/4 applicable dimensions scored
✓ Schema Quality ✓ Protocol ✓ Reliability ✓ Docs & Maintenance ✓ Security Hygiene ✓ Schema Interpretability
Schema Quality
72
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
26
25% weight
Security Hygiene
95
33% weight
Schema Interpretability
92
15% weight
30-Day Trend

Score History

Category Trends

Latest Health Check

Down
Status
0ms
Connect
0.0%
7-day Uptime
Checked 2 months, 2 weeks ago

Static Analysis

Metric Score Rating
Schema Completeness 80 Good
Description Quality 60 Fair
Documentation Coverage 30 Poor
Maintenance Pulse 30 Poor
Dependency Health 55 Fair
License Clarity Poor
Version Hygiene Poor
Analyzed 2 months, 2 weeks ago

Protocol Compliance

Schema Valid
Probed 2 months, 2 weeks ago
Embed Badge

Add this to your README to display your MCP Scoreboard grade:

MCP Score Badge
[![MCP Score](https://mcpscoreboard.com/badge/1654274a-aa89-4387-b8a7-7599dfffc045.svg)](https://mcpscoreboard.com/server/1654274a-aa89-4387-b8a7-7599dfffc045/)