suppr-mcp  by WildDataX

AI-driven document translation and academic research assistant

Created 6 months ago
250 stars

Top 100.0% on SourcePulse

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Project Summary

Summary

WildDataX/suppr-mcp offers an AI-driven academic toolkit, providing high-quality document translation and semantic PubMed literature search. Designed for AI assistants and MCP clients, it streamlines research by enabling rapid access to translated documents and biomedical research insights.

How It Works

The platform employs AI for document translation across 13 languages, supporting formats like PDF, DOCX, and PPTX with specialized math formula optimization. It also facilitates semantic search of millions of biomedical papers via PubMed, returning structured metadata such as DOIs and abstracts. Integration with MCP-compatible AI clients (e.g., Claude Desktop, Cursor) is a core feature.

Quick Start & Requirements

Installation: npm install -g suppr-mcp or npx suppr-mcp. Requires Node.js v18.0.0+. An API key from suppr.wilddata.cn/api-keys is mandatory, configured via SUPPR_API_KEY environment variable or client settings.

Highlighted Details

  • Supports translation for PDF, DOCX, XLSX, PPTX, TXT, HTML across 13 languages with auto-detection.
  • Optimized PDF translation for mathematical formulas.
  • PubMed search yields structured metadata: DOI, PMID, impact factor, citations, affiliations, abstracts, links.
  • MCP compatibility for seamless AI assistant integration.

Maintenance & Community

Technical support is available via IT@wilddata.cn. The project is part of a broader ecosystem including a Zotero plugin and API services, with further details and links provided in the repository's documentation.

Licensing & Compatibility

The README does not specify a software license. Users must verify licensing terms independently, particularly for commercial use or integration into closed-source applications, as compatibility cannot be assessed from the provided documentation.

Limitations & Caveats

Requires Node.js v18.0.0+ and a valid API key, indicating external service dependency and a potential usage-based cost model (evidenced by "consumed_points"). The service is subject to API availability and potential errors (e.g., 401, 400, 404).

Health Check
Last Commit

3 weeks ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
3 stars in the last 30 days

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