# Academic Research MCP — ArXiv & Google Scholar

> Academic Research MCP — ArXiv & Google Scholar — nexgendata-apify-academic-research-mcp-server. Use this tool when you need to find academic research papers across various disciplines, with access to citations and abstracts. It solves problems of information discovery and literature review by searching arXiv preprints and Google Scholar in one place. The tool takes in search queries as input and outputs relevant academic papers with corresponding citations and abstracts.

Canonical page: https://skillsregistry.net/skills/nexgendata-apify-academic-research-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nexgendata-apify-academic-research-mcp-server

## Description

Literature-review automation for grad students, R&D teams, and research agents. Find papers by topic, pull citation counts, identify highly-cited work in a field, and trace citation chains. Two sources unified so you don't miss preprints (ArXiv) or older landmark work (Scholar).

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-15

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-07-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/nexgendata-apify/academic-research-mcp-server)

## 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": "nexgendata-apify-academic-research-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nexgendata-apify-academic-research-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nexgendata-apify-academic-research-mcp-server/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