What are the prerequisites to run the server?
Python 3.10 or higher and the FastMCP library are required.
@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": {
"biorxiv": {
"command": "bash",
"args": [
"-c",
"source /home/YOUR/PATH/mcp-server-bioRxiv/.venv/bin/activate && python /home/YOUR/PATH/mcp-server-bioRxiv/biorxiv_server.py"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The BioRxiv MCP Server bridges AI assistants and bioRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for biology preprints and access their metadata programmatically. It is designed for researchers and AI users who need to query bioRxiv content.
Install the server by cloning the repository and running pip install -r requirements.txt, or use Smithery for Claude/Cursor/Windsurf/CLine. Start the server with python biorxiv_server.py and add the MCP configuration to your client’s config file. Ask the AI assistant to search papers using keywords or to retrieve metadata by DOI.
Python 3.10 or higher and the FastMCP library are required.
Run the Smithery CLI command for your client (e.g., `npx -y @smithery/cli@latest install @JackKuo666/biorxiv-mcp-server --client claude --config "{}"`).
Three tools: `search_biorxiv_key_words`, `search_biorxiv_advanced`, and `get_biorxiv_metadata` (using a DOI).
Papers are saved locally on your machine for faster subsequent access.
No – the disclaimer states the tool is for research purposes only, and users must respect bioRxiv’s terms of service.
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