# ScholarScope (OpenAlex)

> Use this tool when you need to access academic research and perform comprehensive paper searches, author discovery, and citation analysis. It solves problems related to literature reviews, academic research assistance, and scholarly data analysis by providing tools for searching papers, finding authors, and retrieving citation networks. With inputs such as paper titles, abstracts, and keywords, and outputs including full-text content and citation data, ScholarScope is ideal for AI assistants supporting academic research workflows.

Canonical page: https://skillsregistry.net/skills/scholarscope-openalex  
JSON: https://api.skillsregistry.net/v1/skills/scholarscope-openalex

## Description

ScholarScope MCP server provides AI assistants with access to academic research through the OpenAlex API, enabling comprehensive paper search, author discovery, and citation analysis. Built with Python using FastMCP and featuring robust retry mechanisms with exponential backoff, it offers tools for searching papers by title/abstract/keywords with institutional filtering, finding authors and their affiliations, retrieving citation networks and referenced works, and fetching full-text content via Jina AI's reader service with SSRF protection. The implementation includes structured Pydantic schemas for consistent data handling and supports pagination for large result sets, making it ideal for literature reviews, academic research assistance, and scholarly data analysis workflows.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/scholarscope-openalex)
- **Repository:** <https://github.com/eriknguyen20/scholarscope-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": "scholarscope-openalex"
    }
  }
}
```

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