# mcp-simple-pubmed

> Use this tool when you need to simplify PubMed queries and retrieve relevant data. It solves problems related to complex biomedical literature searches, providing a streamlined interface for inputting search terms and outputting relevant results. This tool is ideal for researchers and scientists looking to efficiently search and organize PubMed data, with capabilities to integrate with git for version control.

Canonical page: https://skillsregistry.net/skills/prasadad-mcp-simple-pubmed  
JSON: https://api.skillsregistry.net/v1/skills/prasadad-mcp-simple-pubmed

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/prasadad/mcp-simple-pubmed)
- **Repository:** <https://github.com/prasadad/mcp-simple-pubmed>

## 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": "prasadad-mcp-simple-pubmed"
    }
  }
}
```

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