PubMed Enhanced Search Server

PubMed Enhanced Search Server

By leescot GitHub

-

pubmed mcp
Overview

what is Pubmed Mcp Smithery?

Pubmed Mcp Smithery is a Model Content Protocol server designed to enhance the search and retrieval of academic papers from the PubMed database, offering additional features like MeSH term lookup and PICO-based evidence search.

how to use Pubmed Mcp Smithery?

To use the server, clone the repository from GitHub, install the necessary dependencies, and run the server locally. You can also integrate it with Claude Desktop by modifying the configuration file.

key features of Pubmed Mcp Smithery?

  • Keyword-based search with optional journal filtering
  • Sorting results by relevance or date
  • MeSH term lookup for related medical concepts
  • Publication count statistics for multiple search terms
  • Detailed paper information retrieval including abstracts and DOIs
  • Structured PICO-based searches with support for synonyms

use cases of Pubmed Mcp Smithery?

  1. Conducting literature reviews in medical research
  2. Comparing publication trends across different medical topics
  3. Finding relevant studies for evidence-based practice

FAQ from Pubmed Mcp Smithery?

  • What programming language is required to run the server?

Python 3.6 or higher is required.

  • Can I filter search results by journal?

Yes, the server supports optional journal filtering in search queries.

  • Is there a limit to the number of search terms I can use?

No, you can use multiple search terms for both publication counts and PICO searches.

Overview

what is Pubmed Mcp Smithery?

Pubmed Mcp Smithery is a Model Content Protocol server designed to enhance the search and retrieval of academic papers from the PubMed database, offering additional features like MeSH term lookup and PICO-based evidence search.

how to use Pubmed Mcp Smithery?

To use the server, clone the repository from GitHub, install the necessary dependencies, and run the server locally. You can also integrate it with Claude Desktop by modifying the configuration file.

key features of Pubmed Mcp Smithery?

  • Keyword-based search with optional journal filtering
  • Sorting results by relevance or date
  • MeSH term lookup for related medical concepts
  • Publication count statistics for multiple search terms
  • Detailed paper information retrieval including abstracts and DOIs
  • Structured PICO-based searches with support for synonyms

use cases of Pubmed Mcp Smithery?

  1. Conducting literature reviews in medical research
  2. Comparing publication trends across different medical topics
  3. Finding relevant studies for evidence-based practice

FAQ from Pubmed Mcp Smithery?

  • What programming language is required to run the server?

Python 3.6 or higher is required.

  • Can I filter search results by journal?

Yes, the server supports optional journal filtering in search queries.

  • Is there a limit to the number of search terms I can use?

No, you can use multiple search terms for both publication counts and PICO searches.

No tools information available.
School MCP
School MCP by 54yyyu

A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.

canvas mcp
View Details
repo-template
repo-template by loonghao

A Model Context Protocol (MCP) server for Python package intelligence, providing structured queries for PyPI packages and GitHub repositories. Features include dependency analysis, version tracking, and package metadata retrieval for LLM interactions.

-

google-calendar mcp
View Details
strava-mcp
strava-mcp by jeremysilva1098

MCP server for strava

strava mcp
View Details

Model Context Protocol (MCP) server implementation for Rhinoceros/Grasshopper integration, enabling AI models to interact with parametric design tools

grasshopper mcp
View Details

MCP configuration to connect AI agent to a Linux machine.

security mcp
View Details

AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).

python mcp
View Details