naver-search-mcp

MCP server for Naver Search API and DataLab API integration, enabling comprehensive search across various Naver services and data trend analysis.

• README updated: cafe article search tool and version history section improved

• Cafe article search feature added
• Shopping category info added to zod
• Source code refactored

• Initial release

If you want to install the MCP via npm, do NOT use @mseep/server-naver-search (https://www.npmjs.com/package/@mseep/server-naver-search). That package is a copy of my work and was published without my permission. The npx version of that package is also broken and will not work properly. Please use this official package instead.

• Naver Developers API Key (Client ID and Secret)
• Node.js 18 or higher
• NPM 8 or higher
• Docker (optional, for container deployment)

1. Visit Naver Developers
2. Click "Register Application"
3. Enter application name and select ALL of the following APIs:
   • Search (for blog, news, book search, etc.)
   • DataLab (Search Trends)
   • DataLab (Shopping Insight)
4. Set the obtained Client ID and Client Secret as environment variables

• search_webkr: Search Naver web documents
• search_news: Search Naver news
• search_blog: Search Naver blogs
• search_cafearticle: Search Naver cafe articles
• 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

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

# 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

npx @isnow890/naver-search-mcp

docker run -i --rm \
  -e NAVER_CLIENT_ID=your_client_id \
  -e NAVER_CLIENT_SECRET=your_client_secret \
  mcp/naver-search

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "naver-search": {
      "command": "npx",
      "args": ["-y", "@isnow890/naver-search-mcp"],
      "env": {
        "NAVER_CLIENT_ID": "your_client_id",
        "NAVER_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

Add to mcp.json:

{
  "mcpServers": {
    "naver-search": {
      "command": "npx",
      "args": ["-y", "@isnow890/naver-search-mcp"],
      "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"
      ]
    }
  }
}

Docker build:

docker build -t mcp/naver-search .

MIT License