- PubMed Enhanced Search Server
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?
- Conducting literature reviews in medical research
- Comparing publication trends across different medical topics
- 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.
Server Config
{
"mcpServers": {
"pubmed-mcp-smithery": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"run",
"@leescot/pubmed-mcp-smithery",
"--config",
"\"{}\""
]
}
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
leescotStar
-Language
-License
-Category
research-and-data
Recommend Servers
View AllTest
@modelcontextprotocol
test
6 months ago
Mailtani
@Egomessss
a day ago
IndustryLens
@IndustryLens
a day ago
Filesystem
@modelcontextprotocol
2 months ago
Tavily Mcp
@tavily-ai
JavaScript
a year ago
Rug Munch Intelligence Mcp
@Rug-Munch-Media-LLC
18 hours ago
AppSumo Docs MCP
@5h0ov
14 hours ago