# Scholar

> Use this tool when you need to efficiently search and analyze academic papers across multiple databases, or organize citations into visual networks. Scholar solves problems of manual database searching and citation management by providing a unified interface to search and download papers from various open-access sources. It takes in search queries and returns organized citation networks and downloadable papers, making it ideal for researchers and academics in need of streamlined literature reviews.

Canonical page: https://skillsregistry.net/skills/scholar-45645678a  
JSON: https://api.skillsregistry.net/v1/skills/scholar-45645678a

## Description

Scholar searches Semantic Scholar, OpenAlex, Crossref, PubMed, arXiv, CORE, Europe PMC, DOAJ, and dblp concurrently. Papers can be downloaded from open-access sources, analyzed with any OpenAI-compatible API, and organized into citation networks visualized as Mermaid diagrams. Available as a pip package with automated configuration via scholar-mcp-install.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/scholar-45645678a)
- **Repository:** <https://github.com/45645678a/scholar-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": "scholar-45645678a"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scholar-45645678a` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scholar-45645678a/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