# PubMed Research

> Use this tool when you need to access biomedical literature from PubMed's database, query academic papers, or retrieve specific papers and their metadata. It solves problems related to literature reviews, academic research, and citation formatting, providing outputs in various formats such as BibTeX, EndNote, APA, MLA, and RIS. It is ideal for researchers, academics, and AI applications requiring structured access to scientific publications, allowing for efficient searching, retrieval, and citation of biomedical papers.

Canonical page: https://skillsregistry.net/skills/aringadre76-pubmed-research  
JSON: https://api.skillsregistry.net/v1/skills/aringadre76-pubmed-research

## Description

Scholarly research MCP server built by aringadre76 that provides AI assistants with access to PubMed's biomedical literature database through five core tools: search_papers for querying academic papers with filters for date ranges, journals, and authors; get_paper_by_id and get_paper_details for retrieving specific papers by PMID; get_citation for generating formatted citations in BibTeX, EndNote, APA, MLA, and RIS formats; and get_citation_count for tracking paper impact metrics. The implementation uses TypeScript with the MCP SDK and integrates directly with NCBI's E-utilities API, handling XML parsing and rate limiting while supporting comprehensive metadata extraction including abstracts, author lists, DOIs, and publication details. Designed for researchers conducting literature reviews, academics needing programmatic access to biomedical papers, and AI applications requiring structured access to scientific publications with proper citation formatting capabilities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-11

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aringadre76-pubmed-research)
- **Repository:** <https://github.com/aringadre76/mcp-for-research>

## 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": "aringadre76-pubmed-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aringadre76-pubmed-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aringadre76-pubmed-research/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