Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Memory Store MCP Serversearch for the latest AI research papers on arXiv"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Memory Store MCP Server
A Model Context Protocol (MCP) server that provides web search capabilities using Puppeteer.
Features
Web search functionality via Google
Structured JSON results
Lightweight and stateless design
Easy integration with MCP-enabled systems
Related MCP server: Brave Deep Research MCP
Installation
Clone the repository:
git clone https://github.com/yourusername/mcp-server.git cd mcp-serverInstall dependencies:
npm installBuild the project:
npm run build
Configuration
Create a .env file in the project root with the following environment variables:
# Puppeteer configuration
PUPPETEER_EXECUTABLE_PATH=/path/to/chrome
PUPPETEER_HEADLESS=true
# Server settings
PORT=3000Usage
Start the server:
npm startThe server will be available to MCP clients. Example usage through MCP:
{
"tool": "search_web",
"arguments": {
"query": "example search"
}
}Development
Building the Project
npm run buildRunning Tests
npm testLinting
npm run lintFormatting
npm run formatLicense
This project is licensed under the MIT License - see the LICENSE file for details.