Naver Search
Createdjikime
Enables AI agents to search Naver for blogs, news, shopping items, and other content via the Naver Search API.
About
This tool provides an MCP (Multi-platform Communication Protocol) server that grants AI agents access to Naver Search APIs, allowing them to search for various types of content, including blogs, news, books, images, and shopping items. It supports multiple search categories with pagination, delivers structured text responses optimized for LLM consumption, checks for adult content, and even corrects keyboard input errors, enhancing the functionality and accuracy of AI-driven information retrieval from Naver.
Key Features
- 3 GitHub stars
- Provides pagination support for handling large result sets.
- Offers keyboard input error correction (errata).
- Supports multiple search categories including blog, news, books, images, and shopping.
- Returns structured text responses optimized for Large Language Model (LLM) consumption.
- Includes functionality to check for adult content.
Use Cases
- Building applications that require access to Naver's diverse content offerings.
- Automating content discovery and analysis on Naver.
- Integrating Naver search capabilities into AI assistants and chatbots.
