# PubMed

> Use this tool when you need to efficiently search and analyze medical research articles, solve information overload by filtering results by author, date, or journal, and access scientific literature without leaving your AI assistant conversation. It provides keyword searching, article metadata retrieval, and full-text PDF downloads as inputs and outputs. Ideal for researchers, medical professionals, and academics requiring quick access to scientific literature.

Canonical page: https://skillsregistry.net/skills/jackkuo666-pubmed  
JSON: https://api.skillsregistry.net/v1/skills/jackkuo666-pubmed

## Description

PubMed-MCP-Server provides a bridge between AI assistants and PubMed, enabling search and analysis of medical research articles. The server exposes tools for keyword searching, advanced filtering by author/date/journal, retrieving article metadata by PMID, downloading full-text PDFs, and performing structured analysis of papers. Built with FastMCP and asynchronous processing, it handles requests efficiently while providing detailed logging, making it valuable for researchers, medical professionals, and academics who need to access scientific literature without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jackkuo666-pubmed)
- **Repository:** <https://github.com/jackkuo666/pubmed-mcp-server>

## 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": "jackkuo666-pubmed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jackkuo666-pubmed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jackkuo666-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