Confidential guide on numerology and astrology, based of GG33 Public information

py-mcp-naver
python MCP NAVER
3 years
Works with Finder
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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.
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Reviews

user_oTBnwc7x
I've been using py-mcp-naver by pfldy2850, and it's absolutely fantastic! The integration is seamless, and it performs robustly for the needs of my projects. The documentation on GitHub is comprehensive and makes the setup process a breeze. If you're looking for a reliable solution, I highly recommend giving this a try!