# PubMed

> Use this tool when you need to analyze medical literature and gain insights into research dynamics. It solves problems such as information overload and manual literature review by providing features like literature retrieval, hotspot analysis, and trend tracking. With inputs of medical topics or keywords and outputs of comprehensive reports, use PubMed to inform research decisions and stay up-to-date on the latest medical findings.

Canonical page: https://skillsregistry.net/skills/darkroaster-pubmearch  
JSON: https://api.skillsregistry.net/v1/skills/darkroaster-pubmearch

## Description

Analyzes PubMed medical literature to help researchers quickly gain insights into medical research dynamics, with features including literature retrieval, hotspot analysis, trend tracking, and comprehensive reports.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i5xqbe1qq0)
- **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": "darkroaster-pubmearch"
    }
  }
}
```

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