# pubmed-search

> Use this tool when you need to efficiently search and summarize biomedical literature from PubMed. It solves problems related to information overload and manual summarization by providing automated search and summarization capabilities. The tool takes search queries as input and returns relevant literature summaries as output, making it ideal for researchers and scientists seeking to quickly identify and understand key findings in their field.

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

## Description

MCP server for PubMed search and literature summarization

## Trust

- **Trust score (0–1):** 0.92
- **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:** [Glama](https://glama.ai/mcp/servers/arog22d4up)
- **Repository:** <https://github.com/pubspro/pubmed-search>

## 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": "pubspro-pubmed-search"
    }
  }
}
```

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