# PubMed Searcher

> Use this tool when you need to efficiently search and analyze scientific literature from PubMed to extract insights and identify trends in medical research. It solves problems of information overload and manual data extraction by providing structured article data and robust analysis capabilities. The tool takes search queries as input and outputs comprehensive reports, making it ideal for researchers, academics, and healthcare professionals in need of quick access to relevant medical literature.

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

## Description

PubMed Analysis MCP Server enables AI assistants to search, retrieve, and analyze scientific literature from PubMed. It leverages the Biopython library to access NCBI's Entrez API, providing structured article data including titles, authors, abstracts, and keywords. The server includes robust analysis capabilities for identifying research hotspots, tracking publication trends over time, and generating comprehensive statistical reports - making it valuable for researchers, academics, and healthcare professionals who need to quickly extract insights from medical literature.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pubmed-searcher)
- **Repository:** <https://github.com/darkroaster/pubmearch>

## 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": "pubmed-searcher"
    }
  }
}
```

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