Lineex Pubmed Mcp Smithery

ai.smitheryPublished by smithery.aiOfficial publisherv1.14.0Updated Oct 24, 2026

Search PubMed with precision using keyword and journal filters and smart sorting. Uncover MeSH ter…

The publisher's own server: 222wcnm Bilistalkermcp

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingKnowledge & Memory

Overview

AI-generated overview

Lets an assistant search PubMed, look up MeSH terms, count publications, and run structured PICO evidence searches.

What you can do
It provides tools to search PubMed by keyword with an optional journal filter and sorting by relevance or date, and to fetch detailed paper records by PMID, including abstract, DOI, authors and keywords. It can look up MeSH terms for a medical concept and return publication counts for several search terms at once. A PICO tool builds structured Population, Intervention, Comparison and Outcome queries with synonyms and reports the queries and counts for each combination.
When to use it
Useful for literature reviews, evidence-based medicine questions, and comparing how much research exists on different topics. It fits research assistants that need PubMed search and citation details without leaving the chat.
Requirements
The listed endpoint is a remote streamable HTTP service requiring a bearer token in the Authorization header for Smithery authentication. The README also describes a local Python 3.6+ install with pip dependencies and network access to NCBI E-utilities.
Before you install
The Authorization bearer token is a secret and must be supplied by the user. Queries go to PubMed through NCBI's E-utilities, which rate-limits requests; the server retries with backoff. Results are bibliographic records, not clinical advice.

Installation

In SourceWeft

  1. Open Lineex Pubmed Mcp Smithery in the dashboard and add it to a workspace.
  2. Connect Authorization token credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.smithery%2Flineex-pubmed-mcp-smithery/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "lineex-pubmed-smithery": {
      "type": "http",
      "url": "https://server.smithery.ai/@lineex/pubmed-mcp-smithery/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

PubMed Enhanced Search MCP Server

[smithery badge]

A Model Content Protocol server that provides enhanced tools to search and retrieve academic papers from PubMed database, with additional features such as MeSH term lookup, publication count statistics, and PICO-based evidence search.

Features

  • Search PubMed by keywords with optional journal filter
  • Support for sorting results by relevance or date (newest/oldest first)
  • Get MeSH (Medical Subject Headings) terms related to a search word
  • Get publication counts for multiple search terms (useful for comparing prevalence)
  • Retrieve detailed paper information including abstract, DOI, authors, and keywords
  • Perform structured PICO-based searches with support for synonyms and combination queries

Installing

Prerequisites

  • Python 3.6+
  • pip

Installation

  1. Clone this repository:

    git clone https://github.com/leescot/pubmed-mcp-smitherycd pubmed-mcp-smithery

  2. Install dependencies:

    pip install fastmcp requests

Usage

Running locally

Start the server:

python pubmed_enhanced_mcp_server.py

For development mode with auto-reloading:

mcp dev pubmed_enhanced_mcp_server.py

Adding to Claude Desktop

Edit your Claude Desktop configuration file (CLAUDE_DIRECTORY/claude_desktop_config.json) to add the server:

json
"pubmed-enhanced": {    "command": "python",    "args": [        "/path/pubmed-mcp-smithery/pubmed_enhanced_mcp_server.py"    ]}

MCP Functions

The server provides these main functions:

  1. search_pubmed - Search PubMed for articles matching keywords with optional journal filtering

    python
    # Exampleresults = await search_pubmed(    keywords=["diabetes", "insulin resistance"],    journal="Nature Medicine",    num_results=5,    sort_by="date_desc")

  2. get_mesh_terms - Look up MeSH terms related to a medical concept

    python
    # Examplemesh_terms = await get_mesh_terms("diabetes")

  3. get_pubmed_count - Get the count of publications for multiple search terms

    python
    # Examplecounts = await get_pubmed_count(["diabetes", "obesity", "hypertension"])

  4. format_paper_details - Get detailed information about specific papers by PMID

    python
    # Examplepaper_details = await format_paper_details(["12345678", "87654321"])

  5. pico_search - Perform structured PICO (Population, Intervention, Comparison, Outcome) searches with synonyms

    python
    # Examplepico_results = await pico_search(    p_terms=["diabetes", "type 2 diabetes", "T2DM"],    i_terms=["metformin", "glucophage"],    c_terms=["sulfonylurea", "glipizide"],    o_terms=["HbA1c reduction", "glycemic control"])

PICO Search Functionality

The PICO search tool helps researchers conduct evidence-based literature searches by:

  1. Allowing multiple synonym terms for each PICO element
  2. Combining terms within each element using OR operators
  3. Performing AND combinations between elements (P AND I, P AND I AND C, etc.)
  4. Returning both search queries and publication counts for each combination

This approach helps refine research questions and identify the most relevant literature.

Rate Limiting

The server implements automatic retry mechanism with backoff delays to handle potential rate limiting by NCBI's E-utilities service.

License

This project is licensed under the BSD 3-Clause License - see the LICENSE file for details.

Source: README.md at commit 10e7216

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v1.14.0LatestSep 16, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.

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