# PubMed Smithery

> Use this tool when you need to efficiently search and analyze academic medical literature through the PubMed database. It solves problems such as finding relevant research papers, filtering results by journal, and retrieving detailed publication information, with inputs including keywords, MeSH terms, and PICO-based evidence searches, and outputs including publication counts and detailed paper information. It is ideal for researchers, healthcare professionals, and academics who require quick access to medical research within an AI assistant conversation.

Canonical page: https://skillsregistry.net/skills/leescot-pubmed-smithery  
JSON: https://api.skillsregistry.net/v1/skills/leescot-pubmed-smithery

## Description

The PubMed Enhanced Search MCP Server provides AI assistants with powerful tools to search and analyze academic medical literature through the PubMed database. It offers specialized functions for keyword searches with journal filtering, MeSH term lookups, publication count statistics, detailed paper information retrieval, and structured PICO-based evidence searches. Built with Python using the FastMCP framework, this server implements automatic retry mechanisms with backoff delays to handle potential rate limiting by NCBI's E-utilities service, making it particularly valuable for researchers, healthcare professionals, and academics who need to efficiently access and analyze medical research without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/leescot-pubmed-smithery)
- **Repository:** <https://github.com/leescot/pubmed-mcp-smithery>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "leescot-pubmed-smithery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leescot-pubmed-smithery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leescot-pubmed-smithery/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt