Enables web search functionality via Google using a lightweight and stateless Model Context Protocol (MCP) server.
Divslingerx provides web search capabilities through a Model Context Protocol (MCP) server leveraging Puppeteer. It's designed to be lightweight and stateless, offering structured JSON results for easy integration with MCP-enabled systems. The server utilizes Puppeteer to perform searches on Google, providing a simple interface for querying the web within an MCP environment.
Key Features
01Web search functionality via Google
02Lightweight and stateless design
03Easy integration with MCP-enabled systems
040 GitHub stars
05Structured JSON results
Use Cases
01Automating web queries within an MCP environment
02Integrating web search into MCP workflows
03Retrieving structured data from Google search results