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Naver Search
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Naver Search

The Naver Search MCP Server is a multi - platform communication protocol service that provides access to Naver Search APIs, supports searching for various types of content such as blogs, news, books, and images, and optimizes structured text responses for AI agents.
Search toolsDeveloper tools.Python
2.5 points
8.7K
Open Site

Overview

Installation

Content Details

Alternatives

What is the Naver Search MCP Server?

The Naver Search MCP Server is a multi - functional search tool based on the Model Context Protocol (MCP). It allows AI agents to search for information such as blog posts, news, books, images, and shopping products through Naver's search engine. It also supports functions like adult content detection and keyboard input error correction.

How to use the Naver Search MCP Server?

Users can perform search tasks through simple command - line operations, such as searching for keywords, setting the display quantity, paging, and selecting the sorting method. In addition, they can check for adult content or correct spelling errors.

Applicable scenarios

This service is suitable for scenarios that require quick access to online information, such as market research, academic research, and daily queries.

Main Features

Multi - category search
Supports multiple search categories such as blogs, news, books, adult content detection, and knowledge Q&A.
Paging and sorting
Each search category supports the paging function and can be sorted by time or relevance.
Adult content detection
Can determine whether a query involves adult - related content.
Keyboard input error correction
Automatically corrects common Korean/English typing errors.
Advantages
Powerful search engine capabilities, covering multiple content types.
Easy to integrate into existing MCP systems.
Provides detailed structured output of search results for further processing.
Limitations
Requires valid Naver developer API credentials to run.
Some advanced features may require higher quota limits.

How to Use

Install the dependency environment
Ensure that Python 3.12+ is installed and clone the repository.
Configure the API key
Add the Naver client ID and key to the `.env` file.
Start the server
Start the service using the `mcp run server.py` command.

Usage Examples

Search for programming - related blog posts
Demonstrate how to find blog posts about Python programming.
Check for adult content
Demonstrate how to determine whether a query involves adult content.

Frequently Asked Questions

How can I obtain Naver API credentials?
How to solve the problem of being unable to connect to the server?

Related Resources

Naver Search API MCP Server Blog
More information about the Naver Search API MCP Server.
Naver Open API
Official documentation of the Naver Open API.
MCP Protocol
Model Context Protocol (MCP) specification.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "Google Toolbox": {
      "command": "/path/to/bin/uv",
      "args": [
        "--directory",
        "/path/to/py-mcp-naver-search",
        "run",
        "server.py"
      ]
    }
  }
}

{
  "mcpServers": {
    "Google Toolbox": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "py-mcp-naver-search"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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