What are the runtime requirements?
Python 3.10 or higher, plus the FastMCP, asyncio, and logging libraries.
@JackKuo666
基本信息
🔍 Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-bioRxiv": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"install",
"@JackKuo666/biorxiv-mcp-server",
"--client",
"claude",
"--config",
"{}"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
It bridges AI assistants with bioRxiv's preprint repository via the Model Context Protocol (MCP), enabling AI models to search for biology preprints and access their metadata programmatically.
Requires Python 3.10+ and the FastMCP library. Clone the repository, install dependencies, then start the server with python biorxiv_server.py. Alternatively, install via Smithery for Claude Desktop, Cursor, Windsurf, or CLine by adding the appropriate configuration to the client's MCP settings.
Python 3.10 or higher, plus the FastMCP, asyncio, and logging libraries.
Ask the AI assistant queries such as "Can you search bioRxiv for recent papers about genomics?"
Provide the paper's DOI and request its metadata, e.g., "Show me the metadata for DOI 10.1101/123456."
Papers are saved locally on your machine for faster subsequent access.
This tool is for research purposes only. Users must respect bioRxiv's terms of service.
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