korean-data-mcp
Provides access to Naver web data, allowing users to search for news articles and retrieve detailed information and reviews for locations via Naver Places and Naver Maps.
π°π· Korean Data MCP
Real-time Korean web data for AI assistants β 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 β including Naver reviews, Melon music charts, Daangn/Bunjang marketplace listings, Korean news, and Musinsa fashion rankings.
π Available Tools
Tool | Description |
| Fetch reviews for any Naver Place (restaurant, cafe, shop, etc.) |
| Real-time / daily / weekly Korean music chart (μ€μκ° μ°¨νΈ) |
| Search Daangn Market (λΉκ·Όλ§μΌ) C2C listings |
| Search Bunjang (λ²κ°μ₯ν°) marketplace |
| Search Naver News articles by keyword |
| Search Naver Map places by keyword + location |
| Musinsa fashion ranking by category |
Related MCP server: automationnation-mcp
π 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-mcpOr with uv (recommended):
uv add korean-data-mcp3. Set Environment Variable
export APIFY_TOKEN="your_apify_token_here"4. Run the MCP Server
korean-data-mcpβοΈ 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"
}
}
}
}π¬ 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 μΈκ³΅μ§λ₯?"
"Show me the Musinsa top 50 outer clothing items."π§ 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"
}
}
}
}π Data Sources
All data is fetched live via Apify actors:
Actor | Apify Store |
Naver Place Reviews | |
Melon Chart | |
Daangn Market | |
Bunjang Market | |
Naver News | |
Naver Place Search | |
Musinsa Ranking |
π° Pricing
Apify Free Tier: $5/month credit β enough for ~1,000β5,000 tool calls
Actor runs are billed per 1,000 items returned ($0.50/1K items)
No additional cost for this MCP server itself
π 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.serverπ License
MIT License β see LICENSE
π€ Contributing
Issues and PRs welcome at github.com/leadbrain/korean-data-mcp
Available Tools
7 toolsget_melon_chartB
Fetch the Melon music chart (λ©λ‘ μ°¨νΈ).
Inputs: chart_type, limit. Returns: result
get_musinsa_rankingA
Fetch Musinsa (무μ μ¬) fashion ranking β Korea's leading fashion platform.
Inputs: category, max_items. Returns: result
search_bunjangB
Search Bunjang (λ²κ°μ₯ν°) β Korea's largest C2C marketplace.
Inputs: keyword (required), max_items, sort. Returns: result
search_daangnB
Search Daangn Market (λΉκ·Όλ§μΌ) listings.
Inputs: keyword (required), region, max_items. Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogβ¦
TDQS
Scored across 7 tools
Each tool targets a distinct Korean data source (music chart, fashion ranking, marketplace, news, etc.) with no overlap in purpose, ensuring clear differentiation.
All tools follow a consistent verb_noun pattern: 'get_' for fetching entities and 'search_' for search operations, naming clearly reflects function.
7 tools is well-scoped for a server focused on Korean dataβcovers multiple domains without being overwhelming or too sparse.
The set covers major Korean data categories (music, fashion, marketplace, news, places) but could be complemented with additional services like shopping or social media.
Maintenance
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