# UniArticles

> Use this tool when you need to streamline academic research by retrieving literature from multiple sources by integrating Scopus, ArXiv, and Semantic Scholar into a single interface. It solves problems of fragmented searches and inconsistent data formats, providing standardized JSON outputs for search results, author profiles, and citation tracking. Use UniArticles for efficient literature reviews, research paper searches, and citation analysis, especially when working with large volumes of academic data.

Canonical page: https://skillsregistry.net/skills/thinktraveller-uniarticles  
JSON: https://api.skillsregistry.net/v1/skills/thinktraveller-uniarticles

## Description

A unified academic literature retrieval server that integrates Scopus, ArXiv, and Semantic Scholar into a single standardized interface. Provides Scopus search with abstract details, author profiles, and citation tracking; ArXiv paper search, listing, and PDF downloads; and Semantic Scholar search — all returning consistent JSON response structures. Published on PyPI for easy installation via uvx, with optional API keys for enhanced Scopus and Semantic Scholar access.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/thinktraveller-uniarticles)
- **Repository:** <https://github.com/thinktraveller/uniarticles_mcpserver>

## 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": "thinktraveller-uniarticles"
    }
  }
}
```

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