# Neocortica Scholar

> Use this tool when you need to discover and analyze academic papers, and require enhanced metadata and full-text access. It solves problems of limited research visibility and inefficient paper comprehension by enriching Google Scholar results and providing AI-powered reading tools. The Neocortica Scholar tool takes in research queries and outputs enriched metadata, full paper text, and reference graphs, making it ideal for researchers, students, and academics seeking to streamline their literature review process.

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

## Description

A component of the Neocortica project that provides academic paper discovery and analysis tools. Enriches Google Scholar results with metadata from arXiv, Semantic Scholar, and Unpaywall, fetches full paper text as markdown through multiple fallback sources including arxiv2md and MinerU PDF conversion, and enables reference graph exploration. Includes an AI-powered three-pass paper reading tool implementing the Keshav method for systematic paper comprehension.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-25

## Source

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

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