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Naver Search MCP Server

Naver Search MCP Server

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This MCP (Multi-platform Communication Protocol) server provides access to Naver Search APIs, allowing AI agents to search for various types of content on Naver.

Overview

  • Search for blogs, news, books, images, shopping items, and more

  • Multiple search categories with pagination support

  • Structured text responses optimized for LLM consumption

  • Check for adult content

  • Convert keyboard input errors (errata)

Table of Contents

Setup

Prerequisites

Installation

  1. Clone the repository:

git clone https://github.com/jikime/py-mcp-naver-search.git cd py-mcp-naver-search
  1. uv installation

curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Create a virtual environment and install dependencies:

uv venv -p 3.12 source .venv/bin/activate pip install -r requirements.txt
  1. Create a .env file with your Naver API credentials:

cp env.example .env vi .env NAVER_CLIENT_ID=your_client_id_here NAVER_CLIENT_SECRET=your_client_secret_here

Using Docker

  1. Build the Docker image:

docker build -t py-mcp-naver-search .
  1. Run the container:

docker run py-mcp-naver-search

Using Local

  1. Run the server:

mcp run server.py
  1. Run the MCP Inspector

mcp dev server.py

Configure MCP Settings

Add the server configuration to your MCP settings file:

Claude desktop app

  1. To install automatically via Smithery:

npx -y @smithery/cli install @jikime/py-mcp-naver-search --client claude
  1. To install manually open ~/Library/Application Support/Claude/claude_desktop_config.json

Add this to the mcpServers object:

{ "mcpServers": { "Google Toolbox": { "command": "/path/to/bin/uv", "args": [ "--directory", "/path/to/py-mcp-naver-search", "run", "server.py" ] } } }

Cursor IDE

open ~/.cursor/mcp.json

Add this to the mcpServers object:

{ "mcpServers": { "Google Toolbox": { "command": "/path/to/bin/uv", "args": [ "--directory", "/path/to/py-mcp-naver-search", "run", "server.py" ] } } }

for Docker

{ "mcpServers": { "Google Toolbox": { "command": "docker", "args": [ "run", "-i", "--rm", "py-mcp-naver-search" ] } } }

Using the Client

The repository includes a client script for testing:

# Basic search uv run client.py blog "Python programming" display=5 page=1 # News search with sorting uv run client.py news "AI" display=10 page=1 sort=date # Image search with filtering uv run client.py image "cat" display=10 filter=large # Check for adult content uv run client.py adult "your query" # Errata correction uv run client.py errata "spdlqj"

Available Search Categories

The server supports the following search categories:

  1. blog - Blog posts

  2. news - News articles

  3. book - Books

  4. adult - Adult content check

  5. encyc - Encyclopedia entries

  6. cafe_article - Cafe articles

  7. kin - Knowledge iN Q&A

  8. local - Local business information

  9. errata - Keyboard input error correction

  10. shop - Shopping items

  11. doc - Academic papers and documents

  12. image - Images

  13. webkr - Web documents

API Reference

Tools

Search Blog

search_blog(query: str, display: int = 10, page: int = 1, sort: str = "sim") -> str

Searches for blogs on Naver using the given keyword.

Search News

search_news(query: str, display: int = 10, page: int = 1, sort: str = "sim") -> str

Searches for news on Naver using the given keyword.

Search Book

search_book(query: str, display: int = 10, page: int = 1, sort: str = "sim") -> str

Searches for book information on Naver using the given keyword.

Check Adult Query

check_adult_query(query: str) -> str

Determines if the input query is an adult search term.

Search Encyclopedia

search_encyclopedia(query: str, display: int = 10, page: int = 1, sort: str = "sim") -> str

Searches for encyclopedia information on Naver using the given keyword.

Search Cafe Article

search_cafe_article(query: str, display: int = 10, page: int = 1, sort: str = "sim") -> str

Searches for cafe articles on Naver using the given keyword.

Search KnowledgeiN

search_kin(query: str, display: int = 10, page: int = 1, sort: str = "sim") -> str

Searches for Knowledge iN Q&A on Naver using the given keyword.

Search Local

search_local(query: str, display: int = 5, page: int = 1, sort: str = "random") -> str

Searches for local business information using the given keyword.

Correct Errata

correct_errata(query: str) -> str

Converts Korean/English keyboard input errors.

Search Shop

search_shop(query: str, display: int = 10, page: int = 1, sort: str = "sim") -> str

Searches for shopping product information on Naver using the given keyword.

Search Document

search_doc(query: str, display: int = 10, page: int = 1) -> str

Searches for academic papers, reports, etc. using the given keyword.

Search Image

search_image(query: str, display: int = 10, page: int = 1, sort: str = "sim", filter: str = "all") -> str

Searches for images using the given keyword.

Search Web Document

search_webkr(query: str, display: int = 10, page: int = 1) -> str

Searches for web documents using the given keyword.

Resources

Available Search Categories

GET naver://available-search-categories

Returns a list of Naver search categories available on this MCP server.

Response Format

All tools return responses in structured text format, optimized for LLM processing:

Naver Blog search results (total 12,345 of 1~10): ### Result 1 Title(title): Sample Blog Post Link(link): https://blog.example.com/post1 Description(description): This is a sample blog post about... Blogger name(bloggername): John Doe Blogger link(bloggerlink): https://blog.example.com Post date(postdate): 20250429 ### Result 2 ...

Acknowledgements

License

This project is licensed under the MIT License - see the LICENSE file for details.

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