# scienceon-mcp

> Use this tool when you need to efficiently search and collect academic literature metadata from KISTI ScienceOn. It solves problems related to research and data collection by providing access to various document types and allowing export in multiple formats. The tool accepts search queries as input and outputs collected metadata, making it ideal for researchers and academics looking to streamline their literature review process.

Canonical page: https://skillsregistry.net/skills/rubato103-scienceon-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rubato103-scienceon-mcp

## Description

Enables searching and collecting academic literature metadata from KISTI ScienceOn via Claude or CLI, supporting various document types and export formats.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pkurt7dm25)
- **Repository:** <https://github.com/rubatoyd/scienceON-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": "rubato103-scienceon-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rubato103-scienceon-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rubato103-scienceon-mcp/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