What are the prerequisites to run the server?
Python 3.6 or later and pip. The dependencies `fastmcp` and `requests` must be installed via pip.
@leescot
Basic information
pubmed-mcp-smithery
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pubmed-mcp-smithery": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"run",
"@leescot/pubmed-mcp-smithery",
"--config",
"\"{}\""
]
}
}
}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.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server that provides tools to search and retrieve academic papers from the PubMed database. It includes enhanced features such as MeSH term lookup, publication count statistics, and PICO-based evidence search. Designed for researchers, clinicians, and anyone conducting medical literature reviews.
Install Python 3.6+, fastmcp, and requests; then clone the repository and start the server with python pubmed_enhanced_mcp_server.py or in development mode with mcp dev pubmed_enhanced_mcp_server.py. Add the server to Claude Desktop by editing the claude_desktop_config.json file with the server's command and path.
Python 3.6 or later and pip. The dependencies `fastmcp` and `requests` must be installed via pip.
Clone the repository, then run `pip install fastmcp requests` in the project directory.
Five functions: `search_pubmed`, `get_mesh_terms`, `get_pubmed_count`, `format_paper_details`, and `pico_search`. Each accepts specific parameters and returns structured data.
The server implements an automatic retry mechanism with backoff delays to handle potential rate limiting by NCBI's E-utilities service.
The project is licensed under the BSD 3-Clause License. See the LICENSE file for details.

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