Which search engine does it use?
It uses Google to perform web searches.
Memory Store MCP Server
@MCP-Mirror
基本情報
Memory Store MCP Server について
Mirror of
Memory Store MCP Server の設定
Memory Store MCP Server のツール
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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
よくある質問
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.
「メモリとナレッジ」の他のコンテンツ
Takibi Base
Deian IsacAsk your Takibi Base collections anything; get answers with cited passages and a support score.
Sooveryn
PANDAPROGSooveryn gives Claude Code a team of AI personas that remembers your project. Soov, the partner and team lead, keeps your decisions and how you work in a lasting memory, and finds them again by words and by meaning, from
Codebase Memory
DeusDataHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
46.7K
OpenLore
aakarimServe your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab
66
Leviathan Systems Public Content MCP
Leviathan SystemsSearch published GPU deployment, rack integration and structured cabling resources; read canonical documents and Leviathan Systems company service scope. Anonymous, read-only Streamable HTTP MCP. No credentials required.
コメント