SearchAPI
Connects AI systems to external search engines like Google and Bing, providing real-time data access through the Model Context Protocol.
About
This project provides a Model Context Protocol (MCP) server boilerplate designed to bridge AI assistants with diverse external data sources such as Google, Bing, and YouTube, leveraging SearchAPI.site. It offers a standardized, extensible framework with CLI support, allowing Large Language Models (LLMs) to securely and contextually access real-world information. Built with TypeScript, it features a production-ready, layered architecture for building custom MCP servers.
Key Features
- Supports MCP 'stdio' and 'Streamable HTTP' transports.
- Includes CLI support for direct search queries.
- Connects AI to Google (Web, Image, YouTube) and Bing Web Search.
- 8 GitHub stars
- Provides a production-ready, layered TypeScript architecture.
- Extensible structure for building custom MCP tools and services.
Use Cases
- Developing AI agents that require access to external knowledge bases.
- Enabling LLMs to perform real-time web searches for up-to-date information.
- Serving as a foundational boilerplate for building custom MCP servers.
Sponsored