by isnow890 · MCP Server · ★ 68
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Naver Search MCP Server MCP server for Naver Search API and DataLab API integration, enabling comprehensive search across various Naver services and data trend analysis. Available on ClawHub for OpenClaw You can install this MCP server as an OpenClaw skill from ClawHub: The ClawHub skill uses the published npm package internally and requires and in your OpenClaw environment. Quick Start: Use Without API Key You can use this server immediately without API keys through Kakao PlayMCP. Simply visit the link and start using it right away! Tool Details Available tools: 🆕 Category Search findcategory: Category search tool so you no longer need to manually check category numbers in URLs for trend and shopping insight searches. Just describe the category in natural language. Search Tools searchwebkr: Search Naver web documents searchnews: Search Naver news searchblog: Search Naver blogs searchcafearticle: Search Naver cafe articles se
| Stars | 68 |
| Forks | 23 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.1507938087627/100 |
| Last Updated | 2026-05-12 |
| Created | 2025-04-08 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~287k |
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naver-search-mcp is MCP server for Naver Search API integration. Provides comprehensive search capabilities across Naver services (web, news, blog, shopping, etc) and data trend analysis tools via DataLab API.. It is categorized as a MCP Server with 68 GitHub stars.
naver-search-mcp is primarily written in TypeScript. It covers topics such as data-analysis, datalab-api, korean-search.
You can find installation instructions and usage details in the naver-search-mcp GitHub repository at github.com/isnow890/naver-search-mcp. The project has 68 stars and 23 forks, indicating an active community.
naver-search-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to naver-search-mcp on Agent Skills Hub include MetaSearchMCP, openwebui-extensions, meilisearch-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.