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PubMedSearch MCP Server

PubMedSearch MCP Server

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github.com/gradusnikovSearch7Updated 86w ago

About PubMedSearch MCP Server

PubMedSearch MCP Server is an MCP server for searching PubMed and retrieving paper details. It is suited to research workflows that need keyword or author searches and bibliographic information.

Key features

  1. 01Search by title or abstract keywords
  2. 02Search by author name
  3. 03Retrieve paper metadata and abstracts

Use cases

  1. 01Find papers matching a topic
  2. 02Locate papers by author
  3. 03Retrieve DOI and journal details

MCP support

It exposes PubMed search and paper-retrieval tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"pubmed-search": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

PubMedSearch MCP Server

smithery badge

A Model Content Protocol server that provides tools to search and retrieve academic papers from PubMed database.

Features

  • Search PubMed by keywords in title/abstract or author names
  • Retrieve detailed information including title, authors, journal, abstract, DOI and more
Installing via Smithery

To install pubmed-search-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @gradusnikov/pubmed-search-mcp-server --client claude
Installing Manually
  1. Clone this repository:

    git clone <repository-url>
    cd pubmed-search-mcp-server
    
  2. Install dependencies:

    pip install fastmcp requests python-dotenv
    
  3. Create a .env file in the project root (if needed for configuration)

Usage

  1. Start the server in development mode:

    mcp dev pubmed_search_mcp_server.py
    
  2. or add the server to Claude Desktop app CLAUDE_DIRECTORY/claude_desktop_config.json. For example if you are using Windows Subsystem for Linux (WSL) it may look like this:

    "pubmed-search": {
                "command": "wsl.exe",
                "args": [
                    "bash",
                    "-c",
                    "source /home/[user]/anaconda3/etc/profile.d/conda.sh && conda activate mcp && mcp run /home/[user]/pubmed-search-mpc-server/pubmed_search_mcp_server.py"
                ]
            },
    

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