# PubMed Enhanced Search MCP Server

> PubMed Enhanced Search MCP Server — lineex-pubmed-mcp-smithery. Use this tool when you need to efficiently search and retrieve academic papers from PubMed, to solve problems such as finding relevant research studies or identifying gaps in existing literature. It provides inputs including MeSH terms, PICO elements, and keywords, and outputs relevant publication results, statistics, and evidence-based information. Use it in contexts where in-depth literature reviews, research studies, or evidence-based decision making are required.

Canonical page: https://skillsregistry.net/skills/lineex-pubmed-mcp-smithery  
JSON: https://api.skillsregistry.net/v1/skills/lineex-pubmed-mcp-smithery

## Description

A Model Content Protocol server that provides enhanced tools to search and retrieve academic papers from PubMed, with features including MeSH term lookup, publication count statistics, and PICO-based evidence search.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iw71bf3bgh)
- **Repository:** <https://github.com/lineex/pubmed-mcp-smithery>

## 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": "lineex-pubmed-mcp-smithery"
    }
  }
}
```

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