# io.github.mlintangmz2765/scholar

> Use this tool when you need to conduct deep academic research across multiple databases, including Scopus, OpenAlex, and Unpaywall, and analyze PDF documents to gather insights. It solves problems related to academic paper discovery, citation analysis, and access to full-text articles. The tool takes in search queries and outputs relevant research papers, citations, and article metadata, making it ideal for researchers, students, and academics.

Canonical page: https://skillsregistry.net/skills/io-github-mlintangmz2765-scholar  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mlintangmz2765-scholar

## Description

Hardened Scholar MCP for deep academic research (Scopus, OpenAlex, Unpaywall) with PDF vision.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.mlintangmz2765%2Fscholar)
- **Repository:** <https://github.com/mlintangmz2765/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": "io-github-mlintangmz2765-scholar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mlintangmz2765-scholar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mlintangmz2765-scholar/pull`

---
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