# Simple PubMed

> Use this tool when you need to access and analyze biomedical literature, and integrate the latest medical research into your AI applications. It solves problems such as conducting literature reviews, staying current on medical advancements, and building evidence-based AI assistants. The Simple PubMed tool takes search queries as input and returns relevant article abstracts and potentially full-text content as output, making it ideal for use cases that require up-to-date medical knowledge and research insights.

Canonical page: https://skillsregistry.net/skills/andybrandt-simple-pubmed  
JSON: https://api.skillsregistry.net/v1/skills/andybrandt-simple-pubmed

## Description

This MCP server, developed by Andy Brandt, provides a bridge between large language models and the PubMed medical research database via the Entrez API. Built in Python, it enables AI assistants to search PubMed, access article abstracts, and potentially retrieve full-text content for open access papers. The implementation focuses on simplicity and ease of integration with Claude Desktop, offering a straightforward interface for querying biomedical literature. By connecting AI models with PubMed's vast repository of scientific articles, this server allows AI systems to access up-to-date medical research, analyze trends in healthcare, and provide evidence-based insights. It is particularly useful for scenarios like literature reviews, staying current on medical advancements, and building AI assistants that can leverage peer-reviewed scientific knowledge in the biomedical domain.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

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

## 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": "andybrandt-simple-pubmed"
    }
  }
}
```

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

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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