# PubMed MCP Server

> Use this tool when you need to access and analyze large volumes of biomedical literature, as it enables direct searching and reading of PubMed academic papers without requiring an NCBI API key, solving issues of data access and integration for AI agents. It takes in search queries and returns relevant academic literature, streamlining the research process. Ideal for use cases involving biomedical text analysis, information retrieval, and knowledge discovery.

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

## Description

Enables AI agents to search and read PubMed academic literature directly, without requiring an NCBI API key.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eq8nc875eh)
- **Repository:** <https://github.com/wjixiang/pubmed-mcp>

## 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": "wjixiang-pubmed-mcp"
    }
  }
}
```

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