academic-search-mcp-server

概述

academic-search-mcp-server是一个专业的MCP服务器，将AI助手与学术论文数据库连接起来。它提供三个主要工具：按查询搜索论文、获取特定论文的详细信息以及按主题搜索并带有日期过滤功能。该服务器使用Semantic Scholar和Crossref API作为数据源，返回结构化元数据，包括标题、作者、摘要，以及可用的全文链接。实现使用Python和MCP SDK及FastMCP框架，使其轻量且高效。

试试问 AI

装完之后，这里有 5 个你可以让 AI 做的事：

• search_paperssearch_papers(query: str, limit: int = 10)

  Search for academic papers across multiple sources

  试试:Find papers about machine learning试试:Search for recent papers on climate change试试:Show me 5 papers about quantum computing
• fetch_paper_detailsfetch_paper_details(paper_id: str, source: str = "crossref")

  Retrieve detailed information for a specific academic paper

  试试:Get details for paper DOI 10.1234/example试试:Fetch information for paper 123456789 from Semantic Scholar试试:Show me metadata for this paper
• search_by_topicsearch_by_topic(topic: str, year_start: int = null, year_end: int = null, limit: int = 10)

  Search for papers by topic with optional date range filter

  试试:Find papers about artificial intelligence from 2020 to 2023试试:Search for papers on renewable energy published since 2022试试:Show me papers about COVID-19 with limit 5

可对比工具

安装

npx -y @smithery/cli install @afrise/academic-search-mcp-server --client claude

uv add "mcp[cli]" httpx

SEMANTIC_SCHOLAR_API_KEY=your_key_here
CROSSREF_API_KEY=your_key_here

uv run server.py

{
  "mcpServers": {
    "academic-search": {
      "command": "uv",
      "args": ["run ", "/path/to/server/server.py"],
      "env": {
        "SEMANTIC_SCHOLAR_API_KEY": "your_key_here",
        "CROSSREF_API_KEY": "your_key_here"
      }
    }
  }
}

FAQ

这个服务器使用哪些API？

该服务器主要使用Semantic Scholar API和Crossref API来检索学术论文信息和元数据。

使用此服务器是否需要API密钥？

虽然文档中提到了API密钥，但注释表明它们'尚未实现'，暗示服务器目前可以在没有密钥的情况下运行。

academic-search-mcp-server 对比