# vibescholar

> vibescholar — kuff-vibescholar. Use this tool when you need to streamline academic research by searching Google Scholar, enriching results with Semantic Scholar, and reading full-text PDFs, with the ability to index a local corpus for efficient information retrieval. It solves problems of tedious literature searches, incomplete citation data, and disorganized research materials. Input your research queries and receive enriched search results, PDFs, and indexed corpus data as output.

Canonical page: https://skillsregistry.net/skills/kuff-vibescholar  
JSON: https://api.skillsregistry.net/v1/skills/kuff-vibescholar

## Description

MCP server for academic research — Google Scholar search, Semantic Scholar enrichment, full-text PDF reading, and local corpus indexing

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/kuff/vibescholar)

## 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": "kuff-vibescholar"
    }
  }
}
```

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