# ScholarFetch

> Use this tool when you need to streamline your scholarly research by searching, traversing, and accessing full-text articles across multiple engines. ScholarFetch solves problems of fragmented research sources and disorganized reading lists by providing a unified interface for searching and managing academic materials. It takes in search queries and outputs relevant articles, citations, and reading lists, making it ideal for researchers, students, and academics looking to efficiently find and organize scholarly content.

Canonical page: https://skillsregistry.net/skills/io-github-laibniz-scholarfetch  
JSON: https://api.skillsregistry.net/v1/skills/io-github-laibniz-scholarfetch

## Description

Multi-engine scholarly research server for search, traversal, full text, and reading lists.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.laibniz%2Fscholarfetch)
- **Repository:** <https://github.com/laibniz/scholarfetch>

## Use it

MCP endpoint published by the skill: `https://laibniz-scholarfetch-web.hf.space/mcp/`

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-laibniz-scholarfetch"
    }
  }
}
```

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