AI Content Creation Assistant for Korean creators - Trend analysis & SEO
AI Content Creation Assistant for Korean creators - Trend analysis & SEO
Most "trend" MCPs are thin wrappers around Google Trends. If you're publishing for a Korean audience (Naver Blog, YouTube Korea, Instagram KR, TikTok), Google alone misses the signal — Naver Datalab, Daum search, Zum realtime, and KR-region YouTube each surface different keywords at different hours. content-genie consolidates all five sources into one MCP, layers a 100+ Korean-holiday + 14일-day-series + 절기 event database so Claude can plan around 빼빼로데이 and 수능 without being told, and finishes the loop with a viral-score predictor trained on the structural patterns (numbers, brackets, emotional
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| get_korean_trends | tool |
| analyze_news_trends | tool |
| analyze_seo_keywords | tool |
| optimize_title_hashtags | tool |
| generate_hashtag_strategy | tool |
| generate_content_ideas | tool |
| generate_script_outline | tool |
| repurpose_content | tool |
| predict_viral_score | tool |
| generate_ab_test_variants | tool |
| predict_content_performance | tool |
| analyze_thumbnail | tool |
| analyze_competitor_content | tool |
| benchmark_content_performance | tool |
claude mcp add content-genie -- npx -y content-genie-mcpRead, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
📝 A comprehensive MCP server for text processing, formatting, and analysis. The ultimate text manipulation toolkit!
A MCP server for code reviews
Allure TestOps MCP — projects, launches, test cases, test results via REST API.
Add this server under the `mcpServers` key of Claude Desktop configuration. See the [official document of the Model Context