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Naver Search MCP Server

Provides access to Naver Search APIs with categorized, structured results for AI agents.

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "jikime-py-mcp-naver-search": {
      "command": "mcp",
      "args": [
        "run",
        "server.py"
      ]
    }
  }
}

This MCP server gives you access to Naver Search APIs from your AI agents. It supports searching blogs, news, books, images, shopping items, and more, with pagination and structured responses optimized for processing by language models.

How to use

You interact with this MCP server through an MCP client. Start the local server, then issue search commands from your client to retrieve categorized results in a consistent, easy-to-parse format. Use the available categories to query the exact content you need, such as blogs, news, images, or shops, and chain multiple requests as your agent operates.

How to install

Prerequisites: Python 3.12+ and a working MCP client environment.

Option A: Run locally with MCP tooling (recommended for quick testing). Run the following commands to start the server locally with MCP tooling.

Additional sections

Configuration and runtime details are provided here for common deployment scenarios.

# Local runtime example
mcp run server.py
mcp dev server.py

Available tools

search_blog

Searches for blogs on Naver using a keyword and returns results with titles, links, descriptions, and metadata.

search_news

Searches for news articles on Naver using a keyword and returns structured results.

search_book

Searches for books on Naver using a keyword and returns book information in a structured format.

check_adult_query

Checks whether a given query is considered adult content.

search_encyclopedia

Searches encyclopedia entries on Naver using a keyword.

search_cafe_article

Searches cafe articles on Naver using a keyword.

search_kin

Searches Knowledge iN Q&A content on Naver using a keyword.

search_local

Searches local business information on Naver using a keyword.

correct_errata

Converts keyboard input errors between Korean and English spellings.

search_shop

Searches shopping product information on Naver using a keyword.

search_doc

Searches academic papers and documents on Naver using a keyword.

search_image

Searches images on Naver using a keyword with optional filters.

search_webkr

Searches web documents on Naver using a keyword.