by yokingma · MCP Server · ★ 121
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π OneSearch MCP Server: Web Search & Crawl & Scraper & Content Prep A Model Context Protocol (MCP) server implementation that integrates with multiple search providers for web search, local browser search, and scraping capabilities with agent-browser. Features Web search, scrape, crawl and preprocess content from websites. Support multiple search engines and web scrapers: SearXNG, Tavily, DuckDuckGo, Bing, Google, Zhipu (ζΊθ°±), Exa, Bocha (εζ₯), etc. Local web search (browser search), support multiple search engines: Bing, Google, Baidu, Sogou, etc. Use for browser automation. Free, no API keys required. Enabled tools: , , , Migration from v1.1.0 and Earlier Breaking Changes in v1.1.0: Firecrawl Removed: The Firecrawl integration has been removed in favor of , which provides similar functionality without requiring external API services. New Browser Requirement: You must install Chromium browser (see Prerequisites section). Environment Variables: and are no longer used.
| Stars | 121 |
| Forks | 17 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77.4799992372076/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-26 |
| Created | 2025-03-18 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~15k |
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one-search-mcp is π OneSearch MCP Server: Web Search & Scraper & Extract, Support agent-browser, SearXNG, Tavily, DuckDuckGo, Bing, etc.. It is categorized as a MCP Server with 121 GitHub stars.
one-search-mcp is primarily written in TypeScript. It covers topics such as agent-browser, bing-mcp, duckduckgo-mcp.
You can find installation instructions and usage details in the one-search-mcp GitHub repository at github.com/yokingma/one-search-mcp. The project has 121 stars and 17 forks, indicating an active community.
one-search-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to one-search-mcp on Agent Skills Hub include kindly-web-search-mcp-server, minecraft-mcp-server, copilot-mcp. Each offers a different approach to the same problem space β compare them side-by-side by stars, quality score, and community activity.