scholar-search-mcp

概述

Scholar Search MCP是一个功能强大的MCP服务器，统一了多个来源的学术文献搜索。它通过语义学者和arXiv进行并行搜索，并通过标准化标题实现智能去重。服务器提供全套研究工具，包括论文搜索、引文跟踪、参考文献检索、作者分析、论文推荐、批量操作和arXiv源码下载。其LLM友好的输出格式使其非常适合学术研究中的下游推理和代理工作流。

试试问 AI

装完之后，这里有 5 个你可以让 AI 做的事：

• search_papers

  Search papers with optional limit, fields, year, venue

  试试:Search for papers about machine learning试试:Find recent papers on quantum computing试试:Show me papers from NeurIPS 2023
• get_paper_details

  Get one paper by DOI, arXiv ID, S2 ID, or URL

  试试:Get details for paper 10.1137/1试试:Fetch information for arXiv:2301.00001试试:Show me details for this paper https://example.com/paper
• get_paper_citations

  Get papers that cite a given paper

  试试:Find papers that cite 'Attention is All You Need'试试:Show me papers that cite this paper试试:Who has referenced this research?
• get_paper_references

  Get references of a given paper

  试试:Show me the references for this paper试试:What papers does this one cite?试试:List the references of this research
• get_author_info

  Get an author profile by ID

  试试:Get information about author 123456试试:Show me details for this researcher试试:Fetch author profile
• get_author_papers

  Get papers by a given author

  试试:Show me papers by this author试试:What papers has John Doe published?试试:Find all publications by researcher ID
• get_paper_recommendations

  Get similar paper recommendations

  试试:Find similar papers to this one试试:Show me papers like this试试:Recommend papers similar to this research
• batch_get_papers

  Batch fetch paper details (up to 500 IDs)

  试试:Get details for these 10 papers试试:Fetch information for multiple papers at once试试:Batch retrieve paper metadata
• download_arxiv_source

  Download and extract arXiv source bundle

  试试:Download source for arXiv:2301.00001试试:Get the LaTeX source for this paper试试:Extract arXiv source bundle

可对比工具

安装

pip install scholar-search-mcp

{
  "mcpServers": {
    "scholar-search": {
      "command": "python",
      "args": ["-m", "scholar_search_mcp"],
      "env": {
        "SCHOLAR_SEARCH_ENABLE_SEMANTIC_SCHOLAR": "true",
        "SCHOLAR_SEARCH_ENABLE_ARXIV": "true"
      }
    }
  }
}

{
  "mcpServers": {
    "scholar-search": {
      "command": "python",
      "args": ["-m", "scholar_search_mcp"],
      "env": {
        "SCHOLAR_SEARCH_ENABLE_SEMANTIC_SCHOLAR": "true",
        "SCHOLAR_SEARCH_ENABLE_ARXIV": "true",
        "SEMANTIC_SCHOLAR_API_KEY": "your-key"
      }
    }
  }
}

FAQ

Semantic Scholar和arXiv搜索有什么区别？

Semantic Scholar提供全面的学术论文元数据和引文分析，而arXiv提供预印本研究论文。MCP服务器同时运行两者，并通过标准化标题对结果进行去重。

使用此服务器是否需要API密钥？

不需要，arXiv无需API密钥即可使用。Semantic Scholar使用免费API密钥，但有速率限制。添加SEMANTIC_SCHOLAR_API_KEY可以提高速率限制。

scholar-search-mcp 对比