Korean Data MCP

Community Media and design

Real-time Korean web data via Apify: Naver place reviews and news, Melon music chart, Daangn and Bunjang listings and Musinsa fashion rankings.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. 🇰🇷 Korean Data MCP
  2. 🛠 Available Tools
  3. 🚀 Quick Start
  4. ⚙️ Claude Desktop Configuration
  5. 💬 Usage Examples
  6. 🔧 Cursor / VS Code Configuration
  7. 📊 Data Sources
  8. 💰 Pricing
  9. 🏗 Development
  10. 📄 License
  11. 🤝 Contributing

🇰🇷 Korean Data MCP

Real-time Korean web data for AI assistants — powered by Apify actors.

A Model Context Protocol (MCP) server that gives Claude, Cursor, and other AI tools direct access to live Korean web data — including Naver reviews, Melon music charts, Daangn/Bunjang marketplace listings, Korean news, and Musinsa fashion rankings.


🛠 Available Tools

ToolDescription
get_naver_place_reviewsFetch reviews for any Naver Place (restaurant, cafe, shop, etc.)
get_melon_chartReal-time / daily / weekly Korean music chart (실시간 차트)
search_daangnSearch Daangn Market (당근마켓) C2C listings
search_bunjangSearch Bunjang (번개장터) marketplace
search_naver_newsSearch Naver News articles by keyword
search_naver_placesSearch Naver Map places by keyword + location
get_musinsa_rankingMusinsa fashion ranking by category

🚀 Quick Start

1. Get an Apify API Token

Sign up at apify.com (free tier: $5/month credit included).
Copy your token from console.apify.com/account/integrations.

2. Install
pip install korean-data-mcp

Or with uv (recommended):

uv add korean-data-mcp
3. Set Environment Variable
export APIFY_TOKEN="your_apify_token_here"
4. Run the MCP Server
korean-data-mcp

⚙️ Claude Desktop Configuration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "korean-data": {
      "command": "korean-data-mcp",
      "env": {
        "APIFY_TOKEN": "your_apify_token_here"
      }
    }
  }
}

Or with uvx (no install needed):

{
  "mcpServers": {
    "korean-data": {
      "command": "uvx",
      "args": ["korean-data-mcp"],
      "env": {
        "APIFY_TOKEN": "your_apify_token_here"
      }
    }
  }
}

💬 Usage Examples

Once connected to Claude Desktop or another MCP client:

"What are the top 10 songs on Melon chart right now?"

"Find cafes near Hongdae on Naver Map and show their reviews."

"Search Daangn for iPhone 15 Pro listings in Seoul."

"What are the trending news stories on Naver today about 인공지능?"

"Show me the Musinsa top 50 outer clothing items."

🔧 Cursor / VS Code Configuration

Add to .cursor/mcp.json or .vscode/mcp.json:

{
  "servers": {
    "korean-data": {
      "type": "stdio",
      "command": "korean-data-mcp",
      "env": {
        "APIFY_TOKEN": "your_apify_token_here"
      }
    }
  }
}

📊 Data Sources

All data is fetched live via Apify actors:


💰 Pricing

  • Apify Free Tier: $5/month credit — enough for ~1,000–5,000 tool calls
  • Actor runs are billed per 1,000 items returned ($0.50/1K items)
  • No additional cost for this MCP server itself

🏗 Development

git clone https://github.com/leadbrain/korean-data-mcp
cd korean-data-mcp
pip install -e ".[dev]"
export APIFY_TOKEN="your_token"
python -m korean_data_mcp.server

📄 License

MIT License — see LICENSE


🤝 Contributing

Issues and PRs welcome at github.com/leadbrain/korean-data-mcp


Built on FastMCP · Data from Apify

Frequently asked questions

What is Korean Data MCP?

Real-time Korean web data via Apify: Naver place reviews and news, Melon music chart, Daangn and Bunjang listings and Musinsa fashion rankings.

How do I install Korean Data MCP?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Korean Data MCP open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Korean Data MCP?

It is published by leadbrain. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.