# Google Scholar

> Use this tool when you need to search and retrieve academic papers, citations, and case law from a vast database. It solves problems related to research, citation tracking, and access to scholarly articles, providing relevant results and citations as output. Ideal for use in academic research, legal studies, and fact-finding endeavors.

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

## Description

Search academic papers, citations, and case law from Google Scholar. No API key required. Data via SerpAPI; Smithery is not affiliated with Google.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/google/scholar)

## 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": "google-scholar"
    }
  }
}
```

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