Which search engine does it use?
It uses Google to perform web searches.
@MCP-Mirror
基本信息
Mirror of
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol (MCP) server that provides web search capabilities using Puppeteer, returning structured JSON results. It is designed for easy integration with MCP‑enabled systems.
Clone the repository, install dependencies (npm install), build the project (npm run build), and configure a .env file with PUPPETEER_EXECUTABLE_PATH and PORT. Start with npm start. Invoke the MCP tool search_web with a query argument.
It uses Google to perform web searches.
Set the `PUPPETEER_EXECUTABLE_PATH` environment variable in your `.env` file to the path of a Chrome executable.
The results are returned as structured JSON.

One permissioned folder your team and your AI agents both log into.

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Memlord is a remote MCP server available at https://app.memlord.com.
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.
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