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.

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

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>

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>

# 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.

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.

The following tools are implemented in the server:

Search blog posts on Naver.

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

Search news articles on Naver.

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

Search books on Naver.

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

Get detailed book information using title or ISBN.

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

Check if a search term is adult content.

adult_check(query: str)

Search encyclopedia entries on Naver.

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

Search articles in Naver cafes.

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

Search questions and answers on Naver.

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

Search local information on Naver.

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

Correct spelling errors in a given text.

fix_spelling(query: str)

Search web pages on Naver.

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

Search images on Naver with filters.

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

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)

Search documents on Naver.

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

This project is open source software licensed as MIT.