Memory Store MCP Server
@MCP-Mirror
关于 Memory Store MCP Server
Mirror of
基本信息
配置
工具
未检测到工具
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。
概览
What is Memory Store MCP Server?
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.
How to use Memory Store MCP Server?
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.
Key features of Memory Store MCP Server
- Web search via Google
- Structured JSON results
- Lightweight and stateless design
- Easy integration with MCP systems
- Built with Puppeteer for browser automation
- Configurable through environment variables
Use cases of Memory Store MCP Server
- Enabling AI assistants to perform web searches
- Fetching real‑time information from the web
- Integrating search functionality into MCP‑enabled applications
FAQ from Memory Store MCP Server
Which search engine does it use?
It uses Google to perform web searches.
How do I configure the browser path?
Set the PUPPETEER_EXECUTABLE_PATH environment variable in your .env file to the path of a Chrome executable.
What format does the output have?
The results are returned as structured JSON.
记忆与知识 分类下的更多 MCP 服务器
mcp-local-rag
nkapila6"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
minutes
silversteinEvery meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.
Context7 MCP - Up-to-date Docs For Any Cursor Prompt
upstashContext7 Platform -- Up-to-date code documentation for LLMs and AI code editors
JupyterMCP - Jupyter Notebook Model Context Protocol Integration
jjsantos01A Model Context Protocol (MCP) for Jupyter Notebook

Memory
modelcontextprotocolModel Context Protocol Servers
评论