# PubMed Search

> Use this tool when you need to search and retrieve academic papers from the PubMed database, solving problems such as finding relevant scientific literature or retrieving detailed paper information. It takes keywords, titles, abstracts, or author names as input and returns detailed paper information, including titles, authors, journals, abstracts, and DOIs. Ideal for researchers, students, or AI assistants in the biomedical field, this tool provides efficient access to scientific literature.

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

## Description

This MCP server provides tools for searching and retrieving academic papers from the PubMed database. It implements two main functions: searching PubMed by keywords in titles/abstracts or author names, and fetching detailed paper information including titles, authors, journals, abstracts, and DOIs. The server uses the NCBI E-utilities API to query PubMed and parse XML responses, making it valuable for researchers, students, or AI assistants that need to access scientific literature in the biomedical field.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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/gradusnikov-pubmed-search)
- **Repository:** <https://github.com/gradusnikov/pubmed-search-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": "gradusnikov-pubmed-search"
    }
  }
}
```

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