NAVER

What is py-mcp-naver?

py-mcp-naver is a server implementation for Naver OpenAPI using the Model Context Protocol (MCP). It allows users to interact with various Naver services programmatically.

How to use py-mcp-naver?

To use py-mcp-naver, you need to apply for access to the Naver Open API. Once you have your client ID and secret, you can install the library via pip (for Claude Desktop or Cursor) or from the source. The installation instructions provide commands for both uv and pip installers, and for running the server.

Key Features of py-mcp-naver

This server provides a wide range of tools for interacting with Naver OpenAPI, including:

• Search functionalities: Blog Search, News Search, Book Search, Encyclopedia Search, Cafe Article Search, Q&A Search, Local Search, Web Search, Image Search, Shopping Search, Document Search.
• Utility functions: Adult Content Check, Spelling Correction.
• Advanced Book Search: Get detailed book information using title or ISBN.

Use Cases of py-mcp-naver

py-mcp-naver can be used for various applications that require programmatic access to Naver services. Some potential use cases include:

• Building custom search applications that leverage Naver's extensive data.
• Developing data analysis tools to gather information from Naver blogs, news, or shopping.
• Integrating Naver search capabilities into other applications or services.
• Automating information retrieval from Naver for research or business intelligence.

FAQ from py-mcp-naver

Q: Do I need a Naver Open API key to use this project? A: Yes, you need to apply for access to the Naver Open API to use the Naver MCP server. Instructions for applying are provided in the README.

Q: What is MCP? A: MCP stands for Model Context Protocol. It is a protocol used for implementing servers that interact with various services.

Q: Can I search for specific types of content on Naver? A: Yes, the project offers specific search functions for blogs, news, books, images, shopping, and more, allowing you to target your searches.

Q: Is there a way to correct spelling errors using this tool? A: Yes, the fix_spelling tool is available to correct spelling errors in a given text.

Naver MCP Server

A server implementation for Naver OpenAPI using the Model Context Protocol (MCP). This project provides tools to interact with various Naver services, such as searching blogs, news, books, and more.

Pre-requisite

To use the Naver MCP server, you need to apply for access to the Naver Open API. You can apply for Open API access at the link below:

https://developers.naver.com/apps/#/register=datalab

Installation

from PyPi (Claude Desktop)

Install it to Claude Desktop with (uv):

uv pip install mcp-naver

uv run python -m mcp-naver.hosts.claude_desktop \
  -e NAVER_CLIENT_ID=<YOUR NAVER CLIENT ID> \
  -e NAVER_CLIENT_SECRET=<YOUR NAVER CLIENT SECRET>

Install it to Claude Desktop with:

pip install mcp-naver

python -m mcp-naver.hosts.claude_desktop \
  -e NAVER_CLIENT_ID=<YOUR NAVER CLIENT ID> \
  -e NAVER_CLIENT_SECRET=<YOUR NAVER CLIENT SECRET>

from PyPi (Cursor)

Install it to Cursor with (uv):

uv pip install mcp-naver

uv run python -m mcp-naver.hosts.cursor \
  -e NAVER_CLIENT_ID=<YOUR NAVER CLIENT ID> \
  -e NAVER_CLIENT_SECRET=<YOUR NAVER CLIENT SECRET>

from source

# Clone the repository
git clone https://github.com/pfldy2850/py-mcp-naver.git

# Navigate into the project directory
cd py-mcp-naver

# Synchronize dependencies
uv sync --dev --all-extras

Run it with:

# Start the server (Using FastMCP CLI)
fastmcp install mcp_naver/server.py -e NAVER_CLIENT_ID=<YOUR NAVER CLIENT ID> -e NAVER_CLIENT_SECRET=<YOUR NAVER CLIENT SECRET>

The tool sets up everything you need to create an MCP server integrated with Naver OpenAPI.

Features

This server provides the following tools for interacting with Naver OpenAPI:

• Blog Search: Search blog posts on Naver.
• News Search: Search news articles on Naver.
• Book Search: Search books and advanced book information.
• Adult Content Check: Check if a search term is adult content.
• Encyclopedia Search: Search encyclopedia entries.
• Cafe Article Search: Search articles in Naver cafes.
• Q&A Search: Search questions and answers on Naver.
• Local Search: Search local information.
• Spelling Correction: Correct spelling errors in text.
• Web Search: Search web pages.
• Image Search: Search images with filters.
• Shopping Search: Search shopping items with filters.
• Document Search: Search documents.

Naver MCP Tools

The following tools are implemented in the server:

Blog Search

Search blog posts on Naver.

search_blog(query: str, display: int = 10, start: int = 1, sort: str = "sim")

News Search

Search news articles on Naver.

search_news(query: str, display: int = 10, start: int = 1, sort: str = "sim")

Book Search

Search books on Naver.

search_book(query: str, display: int = 10, start: int = 1, sort: str = "sim")

Advanced Book Search

Get detailed book information using title or ISBN.

get_book_adv(query: str = None, d_titl: str = None, d_isbn: str = None, ...)

Adult Content Check

Check if a search term is adult content.

adult_check(query: str)

Encyclopedia Search

Search encyclopedia entries on Naver.

search_encyc(query: str, display: int = 10, start: int = 1)

Cafe Article Search

Search articles in Naver cafes.

search_cafe_article(query: str, display: int = 10, start: int = 1, sort: str = "sim")

Q&A Search

Search questions and answers on Naver.

search_kin(query: str, display: int = 10, start: int = 1, sort: str = "sim")

Local Search

Search local information on Naver.

search_local(query: str, display: int = 10, start: int = 1, sort: str = "random")

Spelling Correction

Correct spelling errors in a given text.

fix_spelling(query: str)

Web Search

Search web pages on Naver.

search_webkr(query: str, display: int = 10, start: int = 1)

Image Search

Search images on Naver with filters.

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

Shopping Search

Search shopping items on Naver with filters.

search_shop(query: str, display: int = 10, start: int = 1, sort: str = "sim", filter: str = None, exclude: str = None)

Document Search

Search documents on Naver.

search_doc(query: str, display: int = 10, start: int = 1)

License

This project is open source software licensed as MIT.