From b0e7ae4be2acd906e0912637944c0dde65afeb4a Mon Sep 17 00:00:00 2001 From: Session Zero Date: Tue, 10 Mar 2026 06:08:53 +0900 Subject: [PATCH] feat: add leadbrain/korean-data-mcp to Search & Data Extraction MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Korean Data MCP server providing real-time Korean web data: - Naver Place reviews & search - Melon music chart (realtime/daily/weekly) - Daangn Market (당근마켓) listings - Bunjang (번개장터) marketplace - Naver News articles - Musinsa fashion rankings Built with FastMCP, powered by Apify actors. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 71083478..25e03779 100644 --- a/README.md +++ b/README.md @@ -1420,6 +1420,7 @@ Tools for conducting research, surveys, interviews, and data collection. - [kimdonghwi94/Web-Analyzer-MCP](https://github.com/kimdonghwi94/web-analyzer-mcp) 🐍 🏠 🍎 🪟 🐧 - Extracts clean web content for RAG and provides Q&A about web pages. - [kshern/mcp-tavily](https://github.com/kshern/mcp-tavily.git) ☁️ 📇 – Tavily AI search API - [leehanchung/bing-search-mcp](https://github.com/leehanchung/bing-search-mcp) 📇 ☁️ - Web search capabilities using Microsoft Bing Search API +- [leadbrain/korean-data-mcp](https://github.com/leadbrain/korean-data-mcp) 🐍 ☁️ - Real-time Korean web data — Naver place reviews, Melon music chart, Daangn/Bunjang marketplace listings, Naver news, Musinsa fashion rankings. 7 tools powered by Apify actors. Requires APIFY_TOKEN. - [lfnovo/content-core](https://github.com/lfnovo/content-core) 🐍 🏠 - Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses. - [Linked-API/linkedapi-mcp](https://github.com/Linked-API/linkedapi-mcp) 🎖️ 📇 ☁️ - MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data. - [linxule/mineru-mcp](https://github.com/linxule/mineru-mcp) 📇 ☁️ - MCP server for MinerU document parsing API. Parse PDFs, images, DOCX, and PPTX with OCR (109 languages), batch processing (200 docs), page ranges, and local file upload. 73% token reduction with structured output.