# article-mcp

> Use this tool when you need to streamline your research process by searching and analyzing literature from multiple sources. It solves problems of information overload and scattered resources by providing a unified interface for full-text retrieval, reference analysis, and journal quality assessment. It takes in search queries and returns relevant articles, references, and quality assessments from various databases, including Europe PMC, PubMed, and arXiv.

Canonical page: https://skillsregistry.net/skills/fangfuzha-article-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fangfuzha-article-mcp

## Description

Enables multi-source literature search, full-text retrieval, reference analysis, and journal quality assessment across Europe PMC, PubMed, arXiv, CrossRef, OpenAlex, and EasyScholar via the MCP protocol.

## Trust

- **Trust score (0–1):** 0.85
- **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/rcauj0ve46)
- **Repository:** <https://github.com/fangfuzha/article-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": "fangfuzha-article-mcp"
    }
  }
}
```

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