Naver Search MCP Server
by isnow890
This MCP server integrates Naver Search API and DataLab API, enabling comprehensive search across various Naver services and data trend analysis. It allows users to access and analyze data from Naver search, blogs, news, shopping, and more.
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Naver Search MCP Server
MCP server for Naver Search API and DataLab API integration, enabling comprehensive search across various Naver services and data trend analysis.
Prerequisites
- Naver Developers API Key (Client ID and Secret)
- Node.js 18 or higher
- NPM 8 or higher
- Docker (optional, for container deployment)
Getting API Keys
- Visit Naver Developers
- Click "Register Application"
- Enter application name and select ALL of the following APIs:
- Search (for blog, news, book search, etc.)
- DataLab (Search Trends)
- DataLab (Shopping Insight)
- Set the obtained Client ID and Client Secret as environment variables
Tool Details
Available tools:
- search_webkr: Search Naver web documents
- search_news: Search Naver news
- search_blog: Search Naver blogs
- search_shop: Search Naver shopping
- search_image: Search Naver images
- search_kin: Search Naver KnowledgeiN
- search_book: Search Naver books
- search_encyc: Search Naver encyclopedia
- search_academic: Search Naver academic papers
- search_local: Search Naver local places
- datalab_search: Analyze search term trends
- datalab_shopping_category: Analyze shopping category trends
- datalab_shopping_by_device: Analyze shopping trends by device
- datalab_shopping_by_gender: Analyze shopping trends by gender
- datalab_shopping_by_age: Analyze shopping trends by age group
- datalab_shopping_keywords: Analyze shopping keyword trends
- datalab_shopping_keyword_by_device: Analyze shopping keyword trends by device
- datalab_shopping_keyword_by_gender: Analyze shopping keyword trends by gender
- datalab_shopping_keyword_by_age: Analyze shopping keyword trends by age group
Installation
Option 1: Quick Install via Smithery (Recommended)
To install Naver Search MCP Server automatically via Smithery, use one of these commands based on your AI client:
For Claude Desktop:
npx -y @smithery/cli@latest install @isnow890/naver-search-mcp --client claude
For Cursor:
npx -y @smithery/cli@latest install @isnow890/naver-search-mcp --client cursor
For Windsurf:
npx -y @smithery/cli@latest install @isnow890/naver-search-mcp --client windsurf
For Cline:
npx -y @smithery/cli@latest install @isnow890/naver-search-mcp --client cline
The installer will prompt you for:
- NAVER_CLIENT_ID
- NAVER_CLIENT_SECRET
Option 2: Manual Installation
Environment Variables
# Windows
set NAVER_CLIENT_ID=your_client_id
set NAVER_CLIENT_SECRET=your_client_secret
# Linux/Mac
export NAVER_CLIENT_ID=your_client_id
export NAVER_CLIENT_SECRET=your_client_secret
Run with NPX
npx @modelcontextprotocol/server-naver-search
Run with Docker
docker run -i --rm \
-e NAVER_CLIENT_ID=your_client_id \
-e NAVER_CLIENT_SECRET=your_client_secret \
mcp/naver-search
Cursor Desktop Configuration
Add to claude_desktop_config.json
:
{
"mcpServers": {
"naver-search": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-naver-search"],
"env": {
"NAVER_CLIENT_ID": "your_client_id",
"NAVER_CLIENT_SECRET": "your_client_secret"
}
}
}
}
For Docker:
{
"mcpServers": {
"naver-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"NAVER_CLIENT_ID=your_client_id",
"-e",
"NAVER_CLIENT_SECRET=your_client_secret",
"mcp/naver-search"
]
}
}
}
Build
Docker build:
docker build -t mcp/naver-search .
License
MIT License