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Naver API MCP Server

MCP Server

NestJS-powered TypeScript server for efficient, scalable APIs

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Updated Apr 27, 2025

About

A NestJS framework starter written in TypeScript that provides a robust, modular foundation for building scalable server‑side applications and APIs.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Naver API MCP Server is a specialized Model Context Protocol (MCP) implementation that exposes Naver’s suite of web services—search, news, blogs, and more—to AI assistants. By translating Naver’s RESTful endpoints into MCP resources and tools, the server allows Claude or other AI agents to query Korean search data, retrieve up-to-date news articles, and access Naver’s rich content ecosystem without leaving the assistant’s conversation flow. This integration solves a common pain point for developers targeting Korean markets: the need to write custom wrappers and maintain API keys for multiple Naver services. With a single MCP endpoint, an AI can fetch real‑time information and surface it directly to the user.

What makes this server valuable is its seamless fit into existing AI workflows. Developers can register the MCP as a tool in their assistant’s context, then invoke it with natural language prompts such as “Show me the latest news about AI in Korea.” The server handles authentication, rate‑limiting, and data formatting behind the scenes, returning structured JSON that the assistant can embed in its response. This removes boilerplate code from application layers, enabling rapid prototyping and iteration.

Key capabilities include:

  • Unified access to Naver’s search APIs: keyword queries, category filtering, pagination, and result ranking are exposed as simple MCP calls.
  • News and blog retrieval: fetch articles with metadata (title, author, publication date) and content snippets, supporting both keyword and topic‑based searches.
  • OAuth‑based authentication: the server manages access tokens, refreshing them automatically to maintain continuity.
  • Rate‑limit compliance: built‑in throttling ensures that the MCP respects Naver’s usage policies, preventing service disruption.

Typical use cases span content aggregation, market research, and localized chatbot support. For instance, a travel assistant can pull the latest Korean news about tourist attractions, or a financial bot can surface recent Naver Finance articles. Because the MCP presents data in a consistent, schema‑aware format, downstream services—such as summarization or sentiment analysis modules—can consume it without additional parsing logic.

In summary, the Naver API MCP Server transforms a complex set of external APIs into a single, developer‑friendly entry point. It eliminates repetitive integration work, guarantees policy compliance, and empowers AI assistants to deliver timely, localized information directly to users.