# classScopusMCP

> Use this tool when you need to search and retrieve academic papers from multiple sources, such as Scopus, Crossref, and PubMed, to fetch abstracts and integrate with AI clients. It solves problems of fragmented academic searches and limited access to paper abstracts, providing a unified interface for MCP-compatible AI clients. The tool takes search queries as input and returns relevant paper abstracts as output, making it ideal for use cases requiring comprehensive academic literature searches.

Canonical page: https://skillsregistry.net/skills/taehongkim-classscopusmcp  
JSON: https://api.skillsregistry.net/v1/skills/taehongkim-classscopusmcp

## Description

An MCP server that integrates Scopus, Crossref, and PubMed APIs to search academic papers and fetch abstracts, usable with any MCP-compatible AI client.

## Trust

- **Trust score (0–1):** 0.01
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tkq77eytsf)
- **Repository:** <https://github.com/TaehongKim/classScopusMCP>

## 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": "taehongkim-classscopusmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/taehongkim-classscopusmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/taehongkim-classscopusmcp/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