Frequently Asked Questions (FAQ) about SearchAPI.site MCP Server

Q: What is an MCP Server? A: MCP (Model Context Protocol) is an open standard that allows AI systems to securely and contextually connect with external tools and data sources. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Q: What is the SearchAPI.site MCP Server? A: The SearchAPI.site MCP server is a TypeScript-based boilerplate that provides developers with the essential tools and resources to build and deploy MCP servers. It connects AI assistants to external data sources via SearchAPI.site.

Q: What platforms does the SearchAPI.site MCP Server support? A: Currently, the server supports Google Web Search, Google Image Search, Google YouTube Search, and Bing Web Search. Future updates will include support for more platforms.

Q: What are the key features of the SearchAPI.site MCP Server? A: Key features include an extensible architecture, TypeScript foundation, CLI support, seamless integration with SearchAPI.site, a production-ready boilerplate, and a comprehensive testing framework.

Q: How do I get started with the SearchAPI.site MCP Server? A: 1. Ensure you have Node.js (>=18.x) and Git installed. 2. Clone the repository and install dependencies using npm install. 3. Obtain an API key from SearchAPI.site and configure the server. 4. Run the development server using npm run dev:server or npm run dev:server:http. 5. Test the example tool from the CLI.

Q: What is the architecture of the SearchAPI.site MCP Server? A: The server follows a layered architecture: CLI Layer, Tools Layer, Controllers Layer, Services Layer, and Utils Layer.

Q: How do I add my own tools to the SearchAPI.site MCP Server? A: You can add custom tools by defining a service layer, creating a controller, implementing an MCP tool, adding CLI support, and registering the components.

Q: What debugging tools are available for the SearchAPI.site MCP Server? A: The server provides an MCP Inspector for testing tools and viewing request/response details, as well as server logs for detailed information.

Q: How do I publish my custom MCP server? A: Update package.json with your details, update README.md with your tool documentation, build the project using npm run build, test the production build, and publish to npm.

Q: How does the SearchAPI.site MCP Server integrate with UBOS? A: By leveraging the SearchAPI.site MCP server within the UBOS platform, developers gain access to a comprehensive suite of tools and resources for building and deploying AI agents, including orchestration, data connectivity, customization, and multi-agent systems.

Q: Where can I find the SearchAPI.site MCP Server? A: You can find the SearchAPI.site MCP Server on the UBOS Asset Marketplace.