# naver-search-mcp

> Use this tool when you need to perform efficient searches and retrieve relevant information from vast datasets, solving problems related to data discovery and retrieval. It provides a simple interface for inputting search queries and outputs relevant results, making it ideal for use cases involving research, data analysis, and information gathering. By leveraging its capabilities, users can streamline their search processes and quickly find the information they need.

Canonical page: https://skillsregistry.net/skills/chje12-naver-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chje12-naver-search-mcp

## Description

설명

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/chje12/naver-search-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": "chje12-naver-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chje12-naver-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chje12-naver-search-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