MCP Naver Maps

MCP Naver Maps

A server that connects to Naver Maps and Search APIs, enabling geocoding and local search functionality for Korean locations.

Category
Visit Server

Tools

geocode

Searches for address information related to the entered address.

localSearch

Searches for places registered with Naver's local service.

README

MCP Naver Maps

The MCP connects to the Naver Maps API and Naver Search API. 네이버 지도 API와 검색 API에 (로컬) 연결하는 MCP 서버.

It currently supports the following APIs:

Prerequisites

Before you begin, ensure you have the following installed:

  • Python: Version 3.13 or higher
  • uv: You can find installation instructions here.
  • Naver Cloud Platform Account: You need API credentials (Client ID and Client Secret) for the Naver Maps service. You can obtain these from the Naver Cloud Platform console.
  • Naver Develoeprs Account: You need API credentials (Client ID and Client Secret) for the Naver Developers API. You can obtain these from the Naver Developers.

Configuration

  1. Create a .env file: Create a file in the project root.

  2. Add API Credentials: Edit the .env file and add your Naver Maps API credentials and Naver Developers API credentials.

    NAVER_MAPS_CLIENT_ID="YOUR_NAVER_MAPS_CLIENT_ID"
NAVER_MAPS_CLIENT_SECRET="YOUR_NAVER_MAPS_CLIENT_SECRET"
NAVER_CLIENT_API="YOUR_NAVER_CLIENT_API"
NAVER_CLIENT_SECRET="YOUR_NAVER_CLIENT_SECRET"

    Please verify the exact environment variable names required by checking src/mcp_naver_maps/naver_maps_client.py.

Running the MCP

  1. Sync Dependencies: Navigate to the project root directory in your terminal and run the following command. This will create a virtual environment (if one doesn't exist) and install all dependencies specified in pyproject.toml.

    uv sync

  2. Run:: You can run the MCP server using uv.

    uv run src/mcp_naver_maps

    For development,

    source .venv/bin/activate
mcp dev src/mcp_naver_maps/server.py

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured