What are the prerequisites to run the server?
Python 3.10 or higher and the FastMCP library are required.
@JackKuo666
Basic information
π Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.
Add this server to your MCP-compatible client using the configuration below.
{
"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": []
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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 clientβs 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 β the disclaimer states the tool is for research purposes only, and users must respect bioRxivβs terms of service.
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