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Mcp Naver Maps

Mcp Naver Maps

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github.com/yunkee-leeMedia & Design2Updated 76w ago
Repository

About Mcp Naver Maps

Mcp Naver Maps connects to the Naver Maps and Naver Search APIs, providing MCP clients with geocoding and local search.

Key features

  1. 01Geocoding
  2. 02Local search

Use cases

  1. 01Convert addresses to geographic locations
  2. 02Search for local places

MCP support

The MCP server exposes geocoding through the Naver Maps API and local search through the Naver Search API to MCP clients.

#naver#navermaps#maps

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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

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