# 从GitHub仓库安装并运行MCP服务器
uvx --from git+https://github.com/cktbarking/semanticMCP.git semantic-scholar-mcp --transport stdio

# 或者使用简写方式
uvx cktbarking/semanticMCP --transport stdio

# 或者指定版本
uvx semantic-scholar-mcp@latest --transport stdio

# 克隆项目
git clone https://github.com/cktbarking/semanticMCP.git
cd semanticMCP

# 安装依赖
uv sync

# 运行服务器
uv run semantic-scholar-mcp --transport stdio

# 安装依赖
pip install -r requirements.txt

# 运行服务
python main.py

{
  "success": true,
  "query": "machine learning",
  "count": 5,
  "results": [
    {
      "title": "Deep Learning for Computer Vision",
      "authors": "John Doe, Jane Smith",
      "abstract": "This paper presents...",
      "year": 2023,
      "citation_count": 150,
      "article_url": "https://...",
      "pdf_url": "https://...",
      "doi": "10.1109/...",
      "doi_link": "https://doi.org/10.1109/..."
    }
  ]
}

{
  "success": true,
  "message": "PDF下载成功",
  "file_path": "./pdfs/10.1109_example.pdf",
  "doi": "10.1109/example",
  "publisher": "ieee"
}

{
  "mcpServers": {
    "semantic-scholar": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/cktbarking/semanticMCP.git", "semantic-scholar-mcp", "--transport", "stdio"]
    }
  }
}

uvx semantic-scholar-mcp --transport stdio

semantic-scholar-mcp/
├── main.py                 # MCP服务器主文件
├── publishers/             # 出版社下载器
│   ├── ieee_downloader.py
│   ├── acm_downloader.py
│   ├── elsevier_downloader.py
│   ├── springer_downloader.py
│   ├── arxiv_downloader.py
│   └── generic_downloader.py
├── pyproject.toml          # 项目配置
├── requirements.txt        # 依赖列表
└── README.md              # 说明文档